II. Basic Concepts in Display Systems

Similar documents
4K Resolution, Demystified!

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

Introduction. Prof. Lina Karam School of Electrical, Computer, & Energy Engineering Arizona State University

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

Unit 1.1: Information representation

Introduction to DSP ECE-S352 Fall Quarter 2000 Matlab Project 1

Integral 3-D Television Using a 2000-Scanning Line Video System

Image Processing (EA C443)

Chapter 8. Representing Multimedia Digitally

CSC 170 Introduction to Computers and Their Applications. Lecture #3 Digital Graphics and Video Basics. Bitmap Basics

Introduction to Digital Imaging CS/HACU 116, Fall 2001 Digital Image Representation Page 1 of 7

Architecture, réseaux et système I Homework

The Representation of the Visual World in Photography

CS 450: COMPUTER GRAPHICS REVIEW: RASTER IMAGES SPRING 2016 DR. MICHAEL J. REALE

Biological Drawings And He said, Let us make man to our image and likeness Genesis 1:26

Topic 3: Output Devices

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

University Of Lübeck ISNM Presented by: Omar A. Hanoun

Digital Images: A Technical Introduction

Determining MTF with a Slant Edge Target ABSTRACT AND INTRODUCTION

Research Trends in Spatial Imaging 3D Video

Photoshop Domain 2: Identifying Design Elements When Preparing Images

Foundations of Multiplication and Division

Graphics for Web. Desain Web Sistem Informasi PTIIK UB

Indexed Color. A browser may support only a certain number of specific colors, creating a palette from which to choose

Digital Imaging and Image Editing

Introduction to Computer Vision

Getting Unlimited Digital Resolution

Image Forgery. Forgery Detection Using Wavelets

Computers and Imaging

Fundamentals of Multimedia

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

Image and Multidimensional Signal Processing

Colour (1) Graphics 2

*Which code? Images, Sound, Video. Computer Graphics Vocabulary

Lab Report 3: Speckle Interferometry LIN PEI-YING, BAIG JOVERIA

Information representation

8.2 IMAGE PROCESSING VERSUS IMAGE ANALYSIS Image processing: The collection of routines and

What is Color Gamut? Public Information Display. How do we see color and why it matters for your PID options?

Patents of eye tracking system- a survey

The Discount Airbrush Guide Series: Develop Basic Artistic Skills

Chapter 1 Overview of imaging GIS

Perspective Sketching

PLazeR. a planar laser rangefinder. Robert Ying (ry2242) Derek Xingzhou He (xh2187) Peiqian Li (pl2521) Minh Trang Nguyen (mnn2108)

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology

Image Registration Issues for Change Detection Studies

EE299 Midterm Winter 2007 Solutions

Computer Vision. Howie Choset Introduction to Robotics

Figure 1 HDR image fusion example

CPSC 4040/6040 Computer Graphics Images. Joshua Levine

Convert images and non-vector PDFs

[Use Element Selection tool to move raster towards green block.]

COPYRIGHTED MATERIAL. Overview

Column-Parallel Architecture for Line-of-Sight Detection Image Sensor Based on Centroid Calculation

Computer Art 2 Semester Exam

What is exhibition design?

Image Processing Computer Graphics I Lecture 20. Display Color Models Filters Dithering Image Compression

Module 6 STILL IMAGE COMPRESSION STANDARDS

COPYRIGHTED MATERIAL OVERVIEW 1

VIEWSONIC EUROPE LIMITED PIXEL POLICY

The Whole is the Sum of its Parts. I can still recall my reaction upon first seeing a Chuck Close painting. It

RGB COLORS. Connecting with Computer Science cs.ubc.ca/~hoos/cpsc101

What is an image? Images and Displays. Representative display technologies. An image is:

Human Vision and Human-Computer Interaction. Much content from Jeff Johnson, UI Wizards, Inc.

Lecture 2. Electromagnetic radiation principles. Units, image resolutions.

Image Filtering and Gaussian Pyramids

CSCD 433 Network Programming Fall Lecture 5 Physical Layer Continued

Problem of the Month. Miles of Tiles. 5 in. Problem of the Month Miles of Tiles Page 1

Raster (Bitmap) Graphic File Formats & Standards

Color Image Processing. Gonzales & Woods: Chapter 6

GEO/EVS 425/525 Unit 3 Composite Images and The ERDAS Imagine Map Composer

The BIOS in many personal computers stores the date and time in BCD. M-Mushtaq Hussain

Digitizing Color. Place Value in a Decimal Number. Place Value in a Binary Number. Chapter 11: Light, Sound, Magic: Representing Multimedia Digitally

Remote Sensing in an

TWO DIMENSIONAL DESIGN CHAPTER 6: GRADATION. Dr. Hatem Galal A Ibrahim

Chapter 2: Digital Image Fundamentals. Digital image processing is based on. Mathematical and probabilistic models Human intuition and analysis

PENGENALAN TEKNIK TELEKOMUNIKASI CLO

Keysight Technologies Why Magnification is Irrelevant in Modern Scanning Electron Microscopes. Application Note

Unbroken. A Senior Honors Thesis

2.1. General Purpose Run Length Encoding Relative Encoding Tokanization or Pattern Substitution

Digital Image Processing

CSCD 433 Network Programming Fall Lecture 5 Physical Layer Continued

5/17/2009. Digitizing Color. Place Value in a Binary Number. Place Value in a Decimal Number. Place Value in a Binary Number

Convolutional Networks Overview

Multimedia-Systems: Image & Graphics

ROBOT VISION. Dr.M.Madhavi, MED, MVSREC

LECTURE 02 IMAGE AND GRAPHICS

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye

Digital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye

Images and Displays. Lecture Steve Marschner 1

Digital Images. CCST9015 Oct 13, 2010 Hayden Kwok-Hay So

Digital Image Processing

Visual Perception. human perception display devices. CS Visual Perception

Combinational logic: Breadboard adders

Rapid Array Scanning with the MS2000 Stage

Matlab (see Homework 1: Intro to Matlab) Linear Filters (Reading: 7.1, ) Correlation. Convolution. Linear Filtering (warm-up slide) R ij

STK 573 Metode Grafik untuk Analisis dan Penyajian Data

DICOM Correction Proposal

XXXX - ANTI-ALIASING AND RESAMPLING 1 N/08/08

The Physics of Echo. The Physics of Echo. The Physics of Echo Is there pericardial calcification? 9/30/13

Transcription:

Special Topics in Display Technology 1 st semester, 2016 II. Basic Concepts in Display Systems * Reference book: [Display Interfaces] (R. L. Myers, Wiley)

1. Display any system through which ( people through ( ) means ) is conveyed to A book, a painting, or a sign could all be considered display systems ( ) refers to any information which is being conveyed visually.

2. Basic components of a display system 3 1 2. image processing Image source Image storage and transmission 5. Viewer 4. image display

(1) An image source might be a real object viewed by an image transducer, a computer program, or a spoken words. (2) Image processing and rendering The basic information from the source must be processed in some manner before being delivered to the rest of the display system, and then must be put into a form which is suitable for the intended display device. * rendering: refer to the process of finally changing the image information into the form required by the display

(3) Image storage, compositing, and transmission digital memory, video tape storage, The image storage portion of the display system may be used simply to delay the delivery of the image information to the viewer, but it may also be an important factor in the image processing and rendering step, and shared by that portion of the system. The storage portion also composites multiple sources into the final single image which will be seen by the viewer. The composited image must be delivered to the viewer via a transmission channel.

(4) The display translate the image information between the format in which it is stored and the format used by the display device (5) The viewer The viewer is in reality the single most important factor in determining the performance requirements and other factors that define the rest of the system. It is of utmost importance to keep in mind that any display system ultimately relies on, and is limited by, the needs and limitations of human vision. Display systems are a ( ) interface.

3. Imaging Concepts What do we mean by image in the first place? In what form should we expect it to be? Image Information How much information will there be? At what rate must the image information be conveyed?

Image simply means what people see. Humans see the world in color, can discern motion, in three dimensions. Three-dimensional information comes from having two image receptors (eyes), each of which actually only captures a two-dimensional view of the world. We gain information about the third dimension through comparing these two views. The definition of image might be a two-dimensional visual representation. We draw a distinction between image and reality. The image is not the real object. It contains only the information relating to the appearance of the object.

3.1 Vector-scan and raster-scan systems (1) vector-scan displays Creating a picture through ( ) which come together to form recognizable representations of shapes, objects, and so forth. We might create a two-dimensional coordinate system, and order the machine to create the image as follows: (a) Draw a red line from point (2,4) to point (4,4) (b) Draw a red line from point (2,4) to point (2,0) (c) Draw a red line from point (2,2) to point (3,2) examples: classical mechanical plotter, analog oscilloscope Vectorscanned image

(2) Mosaic formation Creating a picture through ( each other to form the desired shape or pattern. ) of pure color next to We might create a two-dimensional coordinate system, and order the machine to create the image as follows: (a) Place a blue tile at (4,3) (b) Place a blue tile at (3,2) (c) Place a green tile at (1,5) This mosaic formation is actually the basis behind practically all electronic imaging and display systems in use today. (1) Information about the image is taken at a number of regularly spaced sampling points (2) This information may be processed, translated,.. until finally sent to a display. (3) Display creates the desired output through controlling each of a regular array of points or cells making up the display s screen.

picture element, individual elements in the display device which make up the final displayed image has a fixed size, shape, and other restrictions * image credit: [ 색채과학 ] ( 박승옥외, 국제 ), p. 96

(3) Raster-scan display For each location within the 2-D image space to receive a pixel information, we specify a starting point the first tile to be placed and then to proceed through the array in a predefined, regular manner. In a rectangular coordinate system, an obvious method is to proceed by sampling each location in a row, and through each row in turn. Almost every display system in use today employs raster scanning. One pass through the full array is generally referred to as a ( ). Rasterscanned image

http://www.youtube.com/watch?v=ds6wsjrgqnq

3.2 Spatial formats vs. resolution (1) Format (Spatial format) refers to the overall size of the image, in terms of the number of pixels horizontally and vertically covered by the defined image space. (Ex) 1024 x 768 : 1024 samples(pixels) per horizontal row, or line 768 pixels in each vertical column of the array of pixels [ Full HD ] 1920 x 1080 ~ 2 millions (82 LCD TV) (2) Resolution refers to the amount of details which can be resolved in an image or by an imaging system expressed in terms of the number of basic image elements per a definite physical distance (Ex) dots per inch,

3.3 Moving images; frame rates Representing motion in the images can be done by simply re-drawing the moving objects within the image, but most often it is simply assumed that motion will be portrayed by replacing the entire image, at regular intervals, with a new image. Motion pictures operate by showing a sequence of what are basically still photographs, and relying on the eye/brain system to interpret this as a convincing representation of smooth motion. Frame: each individual image in the series [cf] field: sub-frame component Frame rate: the rate at which they are displayed update rate: how rapidly new images can be provided to or created in the frame buffer refresh rate: how rapidly new images are actually produced on the screen of the display device

The complete visual experience we receive from a display system comprises a regular three-dimensional array of samples in both time and space. Various difficulties and artifacts may be produced through the nature of the sampling methodology itself. We are almost always in display dealing with a series of samples rather than continuous data.

3.4 Three-dimensional imaging At the very least, rendering images in three dimensions, i.e., keeping track of 3-D spatial relationship when creating images via computer, has been used for many years. pixel (volume pixel)

4. Transmitting the Image Information The data capacity required of the interface in a raster-scan system: (1) the amount of information contained in each sample, or pixel, normally stated in bits at least 8 bits, more often as much as 24-32 bits (2) the number of samples in each image transmitted, i.e., the number of pixels per frame or field (ex) 1024x768 786,432 pixels (3) The field or frame rate required typically tens of frames per second (4) Any overhead or dead time required by the display refers to any limitations on the amount of time which can be devoted to the transmission of valid image data [Example] 1024x768 pixels, frame rate of 75 frames/s, 24 bits/pixel, 25% of the available time to be lost to overhead requirements