Image Processing. The Module. Lab Sessions and Courseworks. Prerequisites. Reference Book. Text Book Image Processing

Size: px
Start display at page:

Download "Image Processing. The Module. Lab Sessions and Courseworks. Prerequisites. Reference Book. Text Book Image Processing"

Transcription

1 Processing Pengwei Hao Topic 1: Introduction ECS605U / ECS776P School of EECS Queen Mary University of London The Module Lectures: Mondays, 9-11am, ArtsOne 1.28 Pengwei Hao (p.hao@qmul.ac.uk) Lab sessions: Wednesday, 11am-1pm, ITL 2F, no lab in week 1. Mr Zhaoyang Xu, acw267, zhaoyang.xu@qmul.ac.uk Miss Xindi Zhang, eex291, xindi.zhang@qmul.ac.uk Miss Bingqing Guo, acw355, b.guo@qmul.ac.uk Lab Sessions and Courseworks Labs are compulsory Week 2: Lab1, complete GUI with template code Week 3-9: Lab2-8 programming for image processing Week 10: coursework completion The deadline to complete the coursework is the end of Week 10. Week 11&12: coursework assessment (assessed during the last 2 lab sessions.) Prerequisites Java programming experience Mathematical background: calculus, complex arithmetic, statistics, linear algebra Basic understanding of signal processing: function, signal and spectrum Text Book Processing Digital Processing Global Edition, 4th Edition by Rafael C. Gonzalez, and Richard E. Woods 1024 pages, Pearson, 2017 ISBN13: ISBN10: Reference Book Digital Processing using MATLAB by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins 827 pages, Gatesmark Publishing 2nd edition (2009) ISBN-10: , ISBN-13:

2 Reference Journals IEEE Trans. Processing IEEE Trans. Signal Processing IEEE Trans. Medical Imaging Computer Vision and Understanding (CVIU) Graphical Modeling and Processing Computer Vision, Graphics and Processing (CVGIP) Reference Proceedings British Machine Vision Conference (BMVC) International Conference on Processing (ICIP) IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) IEEE International Conference on Computer Vision (ICCV) Websites the module The course: Lecture notes : Labs: Coursework: Past exam papers: available on QM+ Text book: Assessment Coursework 20% Assessed during the last 2 lab sessions Examination (2h30m) 80% Processing Processing : Process images by means of digital computers : photograph/picture scanned/produced Digital image : An electronic photograph made up of a set of picture elements, "pixels" Each pixel is at a spatial position and has a tonal value (intensity, gray level) represented digitally in binary code (zeros and ones). First The oldest surviving camera photograph, by Nicéphore Niépce, 1826 or 1827, requires an exposure of at least 8 hours. 2

3 First of Person First photograph including a person, by Daguerre, 1838 First Colour James Clerk Maxwell presents the first durable colour photograph in 1861, uses three separate BW photographs taken with red, green, and violet-blue filters. First Colour Print A 1877 photographic colour print on paper by Louis Ducos du Hauron, superimposing cyan, red and yellow components. First Moving Pictures Muybridge used high-speed photography to make the first animated image sequences photographed in realtime ( ) First Easy-to-Use Camera 1888 The Kodak n 1 box camera, the first easy-to-use camera First Digital Used in newspaper industry Sent between London and New York Bartlane cable picture transmission system was introduced in a week => 3 hours Reproduced on a telegraph printer with typefaces to simulate a halftone pattern 3

4 Photographic Reproduction Better tonal quality (5 gray levels) Higher resolution Photographic Reproduction Better tonal quality (15 gray levels) Higher resolution First Scanned The first picture scanned, stored, and recreated in digital pixels by the SEAC scanner in SEAC: Standards Eastern Automatic Computer. Computers Involved in Creation From early 1960s US space missions First Pixel Array 1967 First MOS 10 by 10 active pixel array shown by Noble 4

5 First Colour Filter Array 1975 Bryce Bayer of Kodak develops the Bayer filter mosaic pattern for CCD colour image sensors. Medical Imaging From late 1960s and early 1970s Computerized tomography (CT) Using X-rays Bone scan Gamma-Ray Imaging Positron emission tomography (PET) Cygnus Loop Gamma radiation from a reactor valve Chest X-ray Aortic angiogram Head CT Circuit boards Cygnus Loop X-Ray Imaging Ultraviolet Band Imaging Normal corn Smut corn Cygnus Loop Light Microscopy s Anticancer agent, 250X Cholesterol, 40X Microprocessor, 60X Nickel oxide thin film, 600X Audio CD surface, 1750X Organic superconductor, 450X 5

6 Landsat Satellite 7 Bands: 1. Visible blue, 2. visible green, 3. visible red, 4. near infrared, 5. middle infrared, 6. thermal infrared, 7. middle infrared Meteorological Satellite Visible + Infrared Multispectral - Hyperspectral image - 80 bands (highly correlated) - 512x346 - Road, water, rice paddy Manufactural s Circuit board controller Packaged pills Bottles Bubbles in product Cereal Intraocular implant s in Visual Spectrum Spaceborne Radar images Fingerprint Paper money Automated license number reading 6

7 Radio Band Imaging (MRI) Electromagnetic Spectrum Magnetic Resonance Imaging Electromagnetic Spectrum Ultrasound Imaging Crab Pulsar Scanning Electron Microscope Hair with dandruff Holography 1947 Dennis Gabor invents holography 7

8 Commercial Digital Camera Kodak DC40 and the Apple QuickTake 100 become the first digital cameras marketed for consumers. 3D Camera 2009 FujiFilm launches world's first digital 3D camera with 3D printing capabilities Light-Field Camera Computer Generated s 2011 Lytro releases the first pocket-sized consumer light-field camera, capable of refocusing images after being taken. Computer Generated s Processing System Cloud Network displays Computer Mass storage Hardcopy Specialized image processing hardware processing software sensors Problem domain 8

9 Outputs of these processes generally are image attributes Digital Processing What You Will Learn Outputs of these processes generally are images CHA PTER 6 CHA PTER 7 CHA PTER 8 CHA PTER 9 Wavelets and Color image Compression and Morphological other multiresolution image processing watermarking processing transforms processing CHA PTER 5 CHA PTERS 10 & 11 Segmentation restoration CHA PTERS 3 & 4 CHA PTER 12 Knowledge base Feature filtering and extraction enhancement Level (brightness) operations Algebraic and logical operations Geometric transformations Filtering (both spatial and frequency-based) Sampling Restoration/Reconstruction Compression Problem domain CHA PTER 2 acquisition CHA PTER 13 pattern classification Applications Multimedia (just look at the web) Editing and Manipulation (Photoshop) Medical Imaging (CT, MRI) Compression (PNG, JPEG) Document Processing (OCR) Libraries (restoration/cleanup, storage, retrieval) Many More Relation to Other Fields Processing: Transform an image into another image, often to make the image better to give information Computer Vision: Find the model of an image Computer Graphics: Create an image of a model Processing Computer Vision Computer Graphics Model 9

Introduction. Stefano Ferrari. Università degli Studi di Milano Methods for Image Processing. academic year

Introduction. Stefano Ferrari. Università degli Studi di Milano Methods for Image Processing. academic year Introduction Stefano Ferrari Università degli Studi di Milano stefano.ferrari@unimi.it Methods for Image Processing academic year 2015 2016 Image processing Computer science concerns the representation,

More information

Digital Image Processing. Lecture 1 (Introduction) Bu-Ali Sina University Computer Engineering Dep. Fall 2011

Digital Image Processing. Lecture 1 (Introduction) Bu-Ali Sina University Computer Engineering Dep. Fall 2011 Digital Processing Lecture 1 (Introduction) Bu-Ali Sina University Computer Engineering Dep. Fall 2011 Introduction One picture is worth more than ten thousand p words Outline Syllabus References Course

More information

Digital Image Processing

Digital Image Processing What is an image? Digital Image Processing Picture, Photograph Visual data Usually two- or three-dimensional What is a digital image? An image which is discretized, i.e., defined on a discrete grid (ex.

More information

Lecture # 01. Introduction

Lecture # 01. Introduction Digital Image Processing Lecture # 01 Introduction Autumn 2012 Agenda Why image processing? Image processing examples Course plan History of imaging Fundamentals of image processing Components of image

More information

Introduction

Introduction Introduction Lecturer: Dr. Hossam Hassan Email : hossameldin.hassan@eng.asu.edu.eg Computers and Systems Engineering Essential Books 1. Digital Image Processing Rafael Gonzalez and Richard Woods, Third

More information

ELE 882: Introduction to Digital Image Processing (DIP)

ELE 882: Introduction to Digital Image Processing (DIP) ELE882 Introduction to Digital Image Processing Course Instructor: Prof. Ling Guan Department of Electrical & Computer Engineering Room 315, ENG Building Tel: (416)979-5000 ext 6072 Email: lguan@ee.ryerson.ca

More information

Digital Image Processing

Digital Image Processing Digital Processing Introduction Christophoros Nikou cnikou@cs.uoi.gr s taken from: R. Gonzalez and R. Woods. Digital Processing, Prentice Hall, 2008. Digital Processing course by Brian Mac Namee, Dublin

More information

Background. Computer Vision & Digital Image Processing. Improved Bartlane transmitted image. Example Bartlane transmitted image

Background. Computer Vision & Digital Image Processing. Improved Bartlane transmitted image. Example Bartlane transmitted image Background Computer Vision & Digital Image Processing Introduction to Digital Image Processing Interest comes from two primary backgrounds Improvement of pictorial information for human perception How

More information

Course Outline 8/27/2009. SGN-3016 Digital Image Processing (5 cr)

Course Outline 8/27/2009. SGN-3016 Digital Image Processing (5 cr) SGN-3016 Digital Image Processing (5 cr) Lecturer: Moncef Gabbouj Lectures: Period I, Room TB 110, Mondays 14.00-16.00 Periods II, Room TB 219, Mondays 14:00 16.00 Exercises and Assistants: Dr. Esin Guldogan

More information

CSE 166: Image Processing. Overview. What is an image? Representing an image. What is image processing? History. Today

CSE 166: Image Processing. Overview. What is an image? Representing an image. What is image processing? History. Today CSE 166: Image Processing Overview Image Processing CSE 166 Today Course overview Logistics Some mathematics Lectures will be boardwork and slides CSE 166, Fall 2016 2 What is an image? Representing an

More information

TDI2131 Digital Image Processing

TDI2131 Digital Image Processing TDI2131 Digital Image Processing Introduction to Image Processing Lecture 1 John See Faculty of Information Technology Multimedia University Some portions of content adapted from Zhu Liu, AT&T Labs 1 Lecture

More information

Digital Image Processing and Machine Vision Fundamentals

Digital Image Processing and Machine Vision Fundamentals Digital Image Processing and Machine Vision Fundamentals By Dr. Rajeev Srivastava Associate Professor Dept. of Computer Sc. & Engineering, IIT(BHU), Varanasi Overview In early days of computing, data was

More information

15/12/2017. What is digital image processing? What is digital image processing? History of digital images. History of digital images

15/12/2017. What is digital image processing? What is digital image processing? History of digital images. History of digital images What is digital image processing? Image: a two-dimensional function f(x,y), where x and y are spatial coordinates and the amplitude f at any pair of coordinates (x,y) is called the intensity or gray level.

More information

Digitization and fundamental techniques

Digitization and fundamental techniques Digitization and fundamental techniques Chapter 2.2-2.6 Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University Outline Imaging Digitization Sampling Labeling

More information

Lecture 1 Introduction. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016

Lecture 1 Introduction. Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016 Lecture 1 Introduction Lin ZHANG, PhD School of Software Engineering Tongji University Fall 2016 Self Introduction B.Sc., Computer Science and Engineering, Shanghai JiaoTong University, 2003 M.Sc., Computer

More information

Digital Image Processing COSC 6380/4393

Digital Image Processing COSC 6380/4393 Digital Image Processing COSC 6380/4393 Lecture 1 Aug 21 st, 2018 Slides from Dr. Shishir K Shah and Frank (Qingzhong) Liu Digital Image Processing COSC 6380/4393 Instructor Pranav Mantini Email: pmantini@uh.edu

More information

Chapters to be Covered

Chapters to be Covered SGN-3016 Digital Image Processing (5 cr) Lecturer: Moncef Gabbouj Lectures: Term 1 (Periods I and II), Room TB 223, Fridays12:15 14.00 Exercises and Assistants: Dr. Esin Guldogan (Office TX xxx) Group

More information

APPLICATIONS AND USAGE

APPLICATIONS AND USAGE APPLICATIONS AND USAGE http://www.tutorialspoint.com/dip/applications_and_usage.htm Copyright tutorialspoint.com Since digital image processing has very wide applications and almost all of the technical

More information

ME 6406 MACHINE VISION. Georgia Institute of Technology

ME 6406 MACHINE VISION. Georgia Institute of Technology ME 6406 MACHINE VISION Georgia Institute of Technology Class Information Instructor Professor Kok-Meng Lee MARC 474 Office hours: Tues/Thurs 1:00-2:00 pm kokmeng.lee@me.gatech.edu (404)-894-7402 Class

More information

Course Objectives & Structure

Course Objectives & Structure Course Objectives & Structure Digital imaging is at the heart of science, medicine, entertainment, engineering, and communications. This course provides an introduction to mathematical tools for the analysis

More information

Digital Photogrammetry. Presented by: Dr. Hamid Ebadi

Digital Photogrammetry. Presented by: Dr. Hamid Ebadi Digital Photogrammetry Presented by: Dr. Hamid Ebadi Background First Generation Analog Photogrammetry Analytical Photogrammetry Digital Photogrammetry Photogrammetric Generations 2000 digital photogrammetry

More information

CSCE 763: Digital Image Processing

CSCE 763: Digital Image Processing CSCE 763: Digital Image Processing Spring 2018 Yan Tong Department of Computer Science and Engineering University of South Carolina Today s Agenda Welcome Tentative Syllabus Topics covered in the course

More information

SECTION I - CHAPTER 2 DIGITAL IMAGING PROCESSING CONCEPTS

SECTION I - CHAPTER 2 DIGITAL IMAGING PROCESSING CONCEPTS RADT 3463 - COMPUTERIZED IMAGING Section I: Chapter 2 RADT 3463 Computerized Imaging 1 SECTION I - CHAPTER 2 DIGITAL IMAGING PROCESSING CONCEPTS RADT 3463 COMPUTERIZED IMAGING Section I: Chapter 2 RADT

More information

IMAGE PROCESSING PAPER PRESENTATION ON IMAGE PROCESSING

IMAGE PROCESSING PAPER PRESENTATION ON IMAGE PROCESSING IMAGE PROCESSING PAPER PRESENTATION ON IMAGE PROCESSING PRESENTED BY S PRADEEP K SUNIL KUMAR III BTECH-II SEM, III BTECH-II SEM, C.S.E. C.S.E. pradeep585singana@gmail.com sunilkumar5b9@gmail.com CONTACT:

More information

Digital Image Processing Introduction

Digital Image Processing Introduction Digital Processing Introduction Dr. Hatem Elaydi Electrical Engineering Department Islamic University of Gaza Fall 2015 Sep. 7, 2015 Digital Processing manipulation data might experience none-ideal acquisition,

More information

CS 376b Computer Vision

CS 376b Computer Vision CS 376b Computer Vision 09 / 03 / 2014 Instructor: Michael Eckmann Today s Topics This is technically a lab/discussion session, but I'll treat it as a lecture today. Introduction to the course layout,

More information

dr hab. Michał Strzelecki tel , room 216 cons. hours: Wednesday 14-15, Thursday P. Strumillo, M.

dr hab. Michał Strzelecki tel , room 216 cons. hours: Wednesday 14-15, Thursday P. Strumillo, M. dr hab. Michał Strzelecki tel. 6312631, room 216 cons. hours: Wednesday 14-15, Thursday 13-14 (mstrzel@p.lodz.pl) P. Strumillo, M. Strzelecki One picture is worth more than ten thousand words Anonymous

More information

Digital Image Processing CS-340. Lecture 1 Introduction

Digital Image Processing CS-340. Lecture 1 Introduction Digital Image Processing CS-340 Lecture 1 Introduction Books Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Third Edition, Pearson- Prentice Hall, Inc., 2008. Gonzalez, R. C., Woods, R. E.,

More information

COURSE ECE-411 IMAGE PROCESSING. Er. DEEPAK SHARMA Asstt. Prof., ECE department. MMEC, MM University, Mullana.

COURSE ECE-411 IMAGE PROCESSING. Er. DEEPAK SHARMA Asstt. Prof., ECE department. MMEC, MM University, Mullana. COURSE ECE-411 IMAGE PROCESSING Er. DEEPAK SHARMA Asstt. Prof., ECE department. MMEC, MM University, Mullana. Why Image Processing? For Human Perception To make images more beautiful or understandable

More information

Image Processing. COMP 3072 / GV12 Gabriel Brostow. TA: Josias P. Elisee (with help from Dr Wole Oyekoya) Image Processing.

Image Processing. COMP 3072 / GV12 Gabriel Brostow. TA: Josias P. Elisee (with help from Dr Wole Oyekoya) Image Processing. Image Processing COMP 3072 / GV12 Gabriel Brostow TA: Josias P. Elisee (with help from Dr Wole Oyekoya) 1 2 Motivation and Goals Grounding in image processing techniques Concentrate on algorithms used

More information

Introduction to Computer Vision and image processing

Introduction to Computer Vision and image processing Introduction to Computer Vision and image processing 1.1 Overview: Computer Imaging 1.2 Computer Vision 1.3 Image Processing 1.4 Computer Imaging System 1.6 Human Visual Perception 1.7 Image Representation

More information

Color Image Processing

Color Image Processing Color Image Processing Jesus J. Caban Outline Discuss Assignment #1 Project Proposal Color Perception & Analysis 1 Discuss Assignment #1 Project Proposal Due next Monday, Oct 4th Project proposal Submit

More information

SUPER RESOLUTION INTRODUCTION

SUPER RESOLUTION INTRODUCTION SUPER RESOLUTION Jnanavardhini - Online MultiDisciplinary Research Journal Ms. Amalorpavam.G Assistant Professor, Department of Computer Sciences, Sambhram Academy of Management. Studies, Bangalore Abstract:-

More information

CPSC 4040/6040 Computer Graphics Images. Joshua Levine

CPSC 4040/6040 Computer Graphics Images. Joshua Levine CPSC 4040/6040 Computer Graphics Images Joshua Levine levinej@clemson.edu Lecture 04 Displays and Optics Sept. 1, 2015 Slide Credits: Kenny A. Hunt Don House Torsten Möller Hanspeter Pfister Agenda Open

More information

Introduction. Lighting

Introduction. Lighting &855(17 )8785(75(1'6,10$&+,1(9,6,21 5HVHDUFK6FLHQWLVW0DWV&DUOLQ 2SWLFDO0HDVXUHPHQW6\VWHPVDQG'DWD$QDO\VLV 6,17()(OHFWURQLFV &\EHUQHWLFV %R[%OLQGHUQ2VOR125:$< (PDLO0DWV&DUOLQ#HF\VLQWHIQR http://www.sintef.no/ecy/7210/

More information

remote sensing? What are the remote sensing principles behind these Definition

remote sensing? What are the remote sensing principles behind these Definition Introduction to remote sensing: Content (1/2) Definition: photogrammetry and remote sensing (PRS) Radiation sources: solar radiation (passive optical RS) earth emission (passive microwave or thermal infrared

More information

On the WEB. Digital Image Processing ECE 178. B. S. MANJUNATH RM 3157 ENGR I Tel:

On the WEB. Digital Image Processing ECE 178. B. S. MANJUNATH RM 3157 ENGR I Tel: Digital Image Processing ECE 178 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu Introduction 1 On the WEB For course information: http://www.ece.ucsb.edu/~manj/ece178

More information

Introduction to image processing

Introduction to image processing Part I Introduction to image processing 1 Introduction Overview Imaging systems construct an (output) image in response to (input) signals from diverse types of objects. They can be classified in a number

More information

DICOM Conformance. DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity

DICOM Conformance. DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity DICOM Detailed Specification for Diagnostic Labs and Radiology Center Connectivity Authored by Global Engineering Team, Health Gorilla April 10, 2014 Table of Contents About Health Gorilla s Online Healthcare

More information

Computer Assisted Image Analysis 1 GW 1, Filip Malmberg Centre for Image Analysis Deptartment of Information Technology Uppsala University

Computer Assisted Image Analysis 1 GW 1, Filip Malmberg Centre for Image Analysis Deptartment of Information Technology Uppsala University Computer Assisted Image Analysis 1 GW 1, 2.1-2.4 Filip Malmberg Centre for Image Analysis Deptartment of Information Technology Uppsala University 2 Course Overview 9+1 lectures (Filip, Damian) 5 computer

More information

Medical Images Analysis and Processing

Medical Images Analysis and Processing Medical Images Analysis and Processing - 25642 Emad Course Introduction Course Information: Type: Graduated Credits: 3 Prerequisites: Digital Image Processing Course Introduction Reference(s): Insight

More information

Image Analysis Using R

Image Analysis Using R Image Analysis Using R Chris Campbell LondonR - 13th July 2010 Steps to image analysis Image capture Clean image/reduce noise Extract information Analyze information Image Capture Light Photography Light

More information

(Volume3, Issue2) Mahesh R Pujar ABSTRACT

(Volume3, Issue2) Mahesh R Pujar ABSTRACT (Volume3, Issue2) Available online at www.ijarnd.com Mahesh R Pujar B. V. B. College of Engineering and Technology, Hubballi, Karnataka ABSTRACT Indian is a developing country, Production, and printing

More information

University Of Lübeck ISNM Presented by: Omar A. Hanoun

University Of Lübeck ISNM Presented by: Omar A. Hanoun University Of Lübeck ISNM 12.11.2003 Presented by: Omar A. Hanoun What Is CCD? Image Sensor: solid-state device used in digital cameras to capture and store an image. Photosites: photosensitive diodes

More information

Natalia Vassilieva HP Labs Russia

Natalia Vassilieva HP Labs Russia Content Based Image Retrieval Natalia Vassilieva nvassilieva@hp.com HP Labs Russia 2008 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice Tutorial

More information

Remote Sensing for Fire Management. FOR 435: Remote Sensing for Fire Management

Remote Sensing for Fire Management. FOR 435: Remote Sensing for Fire Management Remote Sensing for Fire Management FOR 435: Remote Sensing for Fire Management 2. Remote Sensing Primer Primer A very Brief History Modern Applications As a young man, my fondest dream was to become a

More information

Principles of Photogrammetry

Principles of Photogrammetry Winter 2014 1 Instructor: Contact Information. Office: Room # ENE 229C. Tel: (403) 220-7105. E-mail: ahabib@ucalgary.ca Lectures (SB 148): Monday, Wednesday& Friday (10:00 a.m. 10:50 a.m.). Office Hours:

More information

Practical Image and Video Processing Using MATLAB

Practical Image and Video Processing Using MATLAB Practical Image and Video Processing Using MATLAB Chapter 1 Introduction and overview What will we learn? What is image processing? What are the main applications of image processing? What is an image?

More information

Megapixels and more. The basics of image processing in digital cameras. Construction of a digital camera

Megapixels and more. The basics of image processing in digital cameras. Construction of a digital camera Megapixels and more The basics of image processing in digital cameras Photography is a technique of preserving pictures with the help of light. The first durable photograph was made by Nicephor Niepce

More information

Image Processing. Gabriel Brostow & Simon Prince. GV12/3072 Image Processing.

Image Processing. Gabriel Brostow & Simon Prince. GV12/3072 Image Processing. Image Processing Gabriel Brostow & Simon Prince GV12/3072 Image Processing. 1 GV12/3072 Image Processing. 2 Motivation and Goals Grounding in image processing techniques Concentrate on algorithms used

More information

Image Processing - Intro. Tamás Szirányi

Image Processing - Intro. Tamás Szirányi Image Processing - Intro Tamás Szirányi The path of light through optics A Brief History of Images 1558 Camera Obscura, Gemma Frisius, 1558 A Brief History of Images 1558 1568 Lens Based Camera Obscura,

More information

SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN

SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code : CS0323 Course Title : Digital Image Processing Semester : V Course Time : July Dec 2011

More information

Introduction. Ioannis Rekleitis

Introduction. Ioannis Rekleitis Introduction Ioannis Rekleitis Why Image Processing? Who here has a camera? How many cameras do you have Point where computers fast/cheap Cameras become omnipresent Deep Learning CSCE 590: Introduction

More information

International Journal of Computer Engineering and Applications, TYPES OF NOISE IN DIGITAL IMAGE PROCESSING

International Journal of Computer Engineering and Applications, TYPES OF NOISE IN DIGITAL IMAGE PROCESSING International Journal of Computer Engineering and Applications, Volume XI, Issue IX, September 17, www.ijcea.com ISSN 2321-3469 TYPES OF NOISE IN DIGITAL IMAGE PROCESSING 1 RANU GORAI, 2 PROF. AMIT BHATTCHARJEE

More information

Digital Image Processing ECE 178 Winter 2003

Digital Image Processing ECE 178 Winter 2003 Digital Image Processing ECE 178 Winter 2003 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu/manjunath 1/07/2003 W03/Lecture 1 On the WEB For course information

More information

Digital Image Processing ECE 178 Winter On the WEB. Class list/discussion sessions. Today: Jan About this course.

Digital Image Processing ECE 178 Winter On the WEB. Class  list/discussion sessions. Today: Jan About this course. Digital Image Processing ECE 178 Winter 2003 On the WEB For course information and slides and more: http://varuna.ece.ucsb.edu/ece178 B. S. MANJUNATH RM 3157 ENGR I Tel:893-7112 manj@ece.ucsb.edu http://vision.ece.ucsb.edu/manjunath

More information

ANALYSIS OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB

ANALYSIS OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB ANALYSIS OF IMAGE ENHANCEMENT TECHNIQUES USING MATLAB Abstract Ms. Jyoti kumari Asst. Professor, Department of Computer Science, Acharya Institute of Graduate Studies, jyothikumari@acharya.ac.in This study

More information

Digital Image Processing - A Remote Sensing Perspective

Digital Image Processing - A Remote Sensing Perspective ISSN 2278 0211 (Online) Digital Image Processing - A Remote Sensing Perspective D.Sarala Department of Physics & Electronics St. Ann s College for Women, Mehdipatnam, Hyderabad, India Sunita Jacob Head,

More information

Enhancing the " Dynamic Range " of Scanned Images

Enhancing the  Dynamic Range  of Scanned Images 247 Enhancing the " Dynamic Range " of Scanned Images Ibrahim Esmat Wali, Printing, Publishing & Packaging Department, Faculty of Applied Art, Helwan University Abstract: When digitizing images to computer

More information

Where Vision and Silicon Meet

Where Vision and Silicon Meet History and Future of Electronic Color Photography: Where Vision and Silicon Meet Richard F. Lyon Chief Scientist Foveon, Inc. UC Berkeley Photography class of Prof. Brian Barksy February 20, 2004 Color

More information

ECC419 IMAGE PROCESSING

ECC419 IMAGE PROCESSING ECC419 IMAGE PROCESSING INTRODUCTION Image Processing Image processing is a subclass of signal processing concerned specifically with pictures. Digital Image Processing, process digital images by means

More information

History and Future of Electronic Color Photography: Where Vision and Silicon Meet

History and Future of Electronic Color Photography: Where Vision and Silicon Meet History and Future of Electronic Color Photography: Where Vision and Silicon Meet Richard F. Lyon Chief Scientist Foveon, Inc. UC Berkeley Photography class of Prof. Brian Barksy February 20, 2004 Color

More information

Color & Compression. Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University

Color & Compression. Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University Color & Compression Robin Strand Centre for Image analysis Swedish University of Agricultural Sciences Uppsala University Outline Color Color spaces Multispectral images Pseudocoloring Color image processing

More information

Segmentation of Liver CT Images

Segmentation of Liver CT Images Segmentation of Liver CT Images M.A.Alagdar 1, M.E.Morsy 2, M.M.Elzalabany 3 1,2,3 Electronics And Communications Department-.Faculty Of Engineering Mansoura University, Egypt. Abstract In this paper we

More information

UNIT 2 Medical Technology: Imaging Unit Overview I. Introduction

UNIT 2 Medical Technology: Imaging Unit Overview I. Introduction UNIT 2 Medical Technology: Imaging Unit Overview I. Introduction Technology has drastically changed the medical profession, and as a result, everyday life. The phrase "medical technology" frequently evokes

More information

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG

An Introduction to Geomatics. Prepared by: Dr. Maher A. El-Hallaq خاص بطلبة مساق مقدمة في علم. Associate Professor of Surveying IUG An Introduction to Geomatics خاص بطلبة مساق مقدمة في علم الجيوماتكس Prepared by: Dr. Maher A. El-Hallaq Associate Professor of Surveying IUG 1 Airborne Imagery Dr. Maher A. El-Hallaq Associate Professor

More information

Electromagnetic Waves & the Electromagnetic Spectrum

Electromagnetic Waves & the Electromagnetic Spectrum Electromagnetic Waves & the Electromagnetic Spectrum longest wavelength shortest wavelength The Electromagnetic Spectrum The name given to a group of energy waves that are mostly invisible and can travel

More information

Alternate Light Source Imaging

Alternate Light Source Imaging Alternate Light Source Imaging This page intentionally left blank Alternate Light Source Imaging Forensic Photography Techniques Norman Marin Jeffrey Buszka Series Editor Larry S. Miller First published

More information

Introduction to Computer Vision

Introduction to Computer Vision Introduction to Computer Vision CS / ECE 181B Thursday, April 1, 2004 Course Details HW #0 and HW #1 are available. Course web site http://www.ece.ucsb.edu/~manj/cs181b Syllabus, schedule, lecture notes,

More information

Teaching Scheme. Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total

Teaching Scheme. Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total Code ITC7051 Name Processing Teaching Scheme Credits Assigned (hrs/week) Theory Practical Tutorial Theory Oral & Tutorial Total Practical 04 02 -- 04 01 -- 05 Code ITC704 Name Wireless Technology Examination

More information

ISO INTERNATIONAL STANDARD. Photography Electronic scanners for photographic images Dynamic range measurements

ISO INTERNATIONAL STANDARD. Photography Electronic scanners for photographic images Dynamic range measurements INTERNATIONAL STANDARD ISO 21550 First edition 2004-10-01 Photography Electronic scanners for photographic images Dynamic range measurements Photographie Scanners électroniques pour images photographiques

More information

Chapters 1-3. Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation. Chapter 3: Basic optics

Chapters 1-3. Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation. Chapter 3: Basic optics Chapters 1-3 Chapter 1: Introduction and applications of photogrammetry Chapter 2: Electro-magnetic radiation Radiation sources Classification of remote sensing systems (passive & active) Electromagnetic

More information

A Novel Approach of Compressing Images and Assessment on Quality with Scaling Factor

A Novel Approach of Compressing Images and Assessment on Quality with Scaling Factor A Novel Approach of Compressing Images and Assessment on Quality with Scaling Factor Umesh 1,Mr. Suraj Rana 2 1 M.Tech Student, 2 Associate Professor (ECE) Department of Electronic and Communication Engineering

More information

EC-433 Digital Image Processing

EC-433 Digital Image Processing EC-433 Digital Image Processing Lecture 2 Digital Image Fundamentals Dr. Arslan Shaukat 1 Fundamental Steps in DIP Image Acquisition An image is captured by a sensor (such as a monochrome or color TV camera)

More information

Introduction to Photography

Introduction to Photography Topic 11 - Bits & Bytes Learning Outcomes You will have a much better understanding of the basic units of digital photography. Bits & Bytes A Bit is the basic unit on a computer, which can be 0/1, off/

More information

TDI2131 Digital Image Processing

TDI2131 Digital Image Processing TDI2131 Digital Image Processing Image Enhancement in Spatial Domain Lecture 3 John See Faculty of Information Technology Multimedia University Some portions of content adapted from Zhu Liu, AT&T Labs.

More information

THE EFFECT OF IMPLEMENTING OF NONLINEAR FILTERS FOR ENHANCING MEDICAL IMAGES USING MATLAB

THE EFFECT OF IMPLEMENTING OF NONLINEAR FILTERS FOR ENHANCING MEDICAL IMAGES USING MATLAB THE EFFECT OF IMPLEMENTING OF NONLINEAR FILTERS FOR ENHANCING MEDICAL IMAGES USING MATLAB Mohamed Y. Adam 1, Dr Mozamel M. Saeed 2, Prof. Dr Al Samani A. Ahmed 3 1 king Saud University, TrainingandCommunity

More information

Automatic Morphological Segmentation and Region Growing Method of Diagnosing Medical Images

Automatic Morphological Segmentation and Region Growing Method of Diagnosing Medical Images International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 2, Number 3 (2012), pp. 173-180 International Research Publications House http://www. irphouse.com Automatic Morphological

More information

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING

Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Geo/SAT 2 INTRODUCTION TO REMOTE SENSING Paul R. Baumann, Professor Emeritus State University of New York College at Oneonta Oneonta, New York 13820 USA COPYRIGHT 2008 Paul R. Baumann Introduction Remote

More information

Digital images. Digital Image Processing Fundamentals. Digital images. Varieties of digital images. Dr. Edmund Lam. ELEC4245: Digital Image Processing

Digital images. Digital Image Processing Fundamentals. Digital images. Varieties of digital images. Dr. Edmund Lam. ELEC4245: Digital Image Processing Digital images Digital Image Processing Fundamentals Dr Edmund Lam Department of Electrical and Electronic Engineering The University of Hong Kong (a) Natural image (b) Document image ELEC4245: Digital

More information

Digital Image Fundamentals and Image Enhancement in the Spatial Domain

Digital Image Fundamentals and Image Enhancement in the Spatial Domain Digital Image Fundamentals and Image Enhancement in the Spatial Domain Mohamed N. Ahmed, Ph.D. Introduction An image may be defined as 2D function f(x,y), where x and y are spatial coordinates. The amplitude

More information

A Methodology to Create a Fingerprint for RGB Color Image

A Methodology to Create a Fingerprint for RGB Color Image Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 6.017 IJCSMC,

More information

Lecture 1 Introduction to Computer Vision. Lin ZHANG, PhD School of Software Engineering, Tongji University Spring 2018

Lecture 1 Introduction to Computer Vision. Lin ZHANG, PhD School of Software Engineering, Tongji University Spring 2018 Lecture 1 Introduction to Computer Vision Lin ZHANG, PhD School of Software Engineering, Tongji University Spring 2018 Course Info Contact Information Room 408L, Jishi Building Email: cslinzhang@tongji.edu.cn

More information

Machine Vision: Image Formation

Machine Vision: Image Formation Machine Vision: Image Formation MediaRobotics Lab, Feb 2010 References: Forsyth / Ponce: Computer Vision Horn: Robot Vision Kodak CCD Primer, #KCP-001 Adaptive Fuzzy Color Interpolation, Journal of Electronic

More information

FACULTY OF ENGINEERING AND TECHNOLOGY

FACULTY OF ENGINEERING AND TECHNOLOGY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL OF COMPUTING DEPARTMENT OF CSE COURSE PLAN Course Code : CS0323 (Elective) Course Title : DIGITAL IMAGE PROCESSING Semester : V Course Time : JULY 2014 DEC

More information

MODULE No. 34: Digital Photography and Enhancement

MODULE No. 34: Digital Photography and Enhancement SUBJECT Paper No. and Title Module No. and Title Module Tag PAPER No. 8: Questioned Document FSC_P8_M34 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Cameras and Scanners 4. Image Enhancement

More information

CS559: Computer Graphics. Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008

CS559: Computer Graphics. Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008 CS559: Computer Graphics Lecture 2: Image Formation in Eyes and Cameras Li Zhang Spring 2008 Today Eyes Cameras Light Why can we see? Visible Light and Beyond Infrared, e.g. radio wave longer wavelength

More information

Images and Graphics. 4. Images and Graphics - Copyright Denis Hamelin - Ryerson University

Images and Graphics. 4. Images and Graphics - Copyright Denis Hamelin - Ryerson University Images and Graphics Images and Graphics Graphics and images are non-textual information that can be displayed and printed. Graphics (vector graphics) are an assemblage of lines, curves or circles with

More information

Starting a Digitization Project: Basic Requirements

Starting a Digitization Project: Basic Requirements Starting a Digitization Project: Basic Requirements Item Type Book Authors Deka, Dipen Citation Starting a Digitization Project: Basic Requirements 2008-11, Publisher Assam College Librarians' Association

More information

746A27 Remote Sensing and GIS

746A27 Remote Sensing and GIS 746A27 Remote Sensing and GIS Lecture 1 Concepts of remote sensing and Basic principle of Photogrammetry Chandan Roy Guest Lecturer Department of Computer and Information Science Linköping University What

More information

Image Enhancement using Histogram Equalization and Spatial Filtering

Image Enhancement using Histogram Equalization and Spatial Filtering Image Enhancement using Histogram Equalization and Spatial Filtering Fari Muhammad Abubakar 1 1 Department of Electronics Engineering Tianjin University of Technology and Education (TUTE) Tianjin, P.R.

More information

CS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett

CS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett CS 262 Lecture 01: Digital Images and Video John Magee Some material copyright Jones and Bartlett 1 Overview/Questions What is digital information? What is color? How do pictures get encoded into binary

More information

Aerial photography and Remote Sensing. Bikini Atoll, 2013 (60 years after nuclear bomb testing)

Aerial photography and Remote Sensing. Bikini Atoll, 2013 (60 years after nuclear bomb testing) Aerial photography and Remote Sensing Bikini Atoll, 2013 (60 years after nuclear bomb testing) Computers have linked mapping techniques under the umbrella term : Geomatics includes all the following spatial

More information

brief history of photography foveon X3 imager technology description

brief history of photography foveon X3 imager technology description brief history of photography foveon X3 imager technology description imaging technology 30,000 BC chauvet-pont-d arc pinhole camera principle first described by Aristotle fourth century B.C. oldest known

More information

ECU 3040 Digital Image Processing

ECU 3040 Digital Image Processing ECU 3040 Digital Image Processing Dr. Praveen Sankaran Department of ECE NIT Calicut January 8, 2015 Ground Rules Grading Policy: Projects 20 Exam 1 15 Exam 2 15 Exam 3 50 Letter Grading:Absolute Textbook:

More information

Classification in Image processing: A Survey

Classification in Image processing: A Survey Classification in Image processing: A Survey Rashmi R V, Sheela Sridhar Department of computer science and Engineering, B.N.M.I.T, Bangalore-560070 Department of computer science and Engineering, B.N.M.I.T,

More information

Introduction to Remote Sensing of the Environment. Dr. Anne Nolin Department of Geosciences

Introduction to Remote Sensing of the Environment. Dr. Anne Nolin Department of Geosciences Introduction to Remote Sensing of the Environment Dr. Anne Nolin Department of Geosciences Overview of today s lecture Course overview Definitions How measurements are made Analog vs. digital The remote

More information

New applications of Spectral Edge image fusion

New applications of Spectral Edge image fusion New applications of Spectral Edge image fusion Alex E. Hayes a,b, Roberto Montagna b, and Graham D. Finlayson a,b a Spectral Edge Ltd, Cambridge, UK. b University of East Anglia, Norwich, UK. ABSTRACT

More information

Keywords: Image segmentation, pixels, threshold, histograms, MATLAB

Keywords: Image segmentation, pixels, threshold, histograms, MATLAB Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Analysis of Various

More information

Exercise questions for Machine vision

Exercise questions for Machine vision Exercise questions for Machine vision This is a collection of exercise questions. These questions are all examination alike which means that similar questions may appear at the written exam. I ve divided

More information