Image Processing for Mechatronics Engineering For senior undergraduate students Academic Year 2017/2018, Winter Semester Lecture 5: Fundamentals of Signal and Image Processing 23.09.2017 Dr. Mohammed Abdel-Megeed Salem Media Engineering Technology, German University in Cairo
Course Info - Contents 1. Introduction 2. Elementary Image Information and Operations 3. Fundamentals of Signal and Image Processing 1. Definition, 2. Important Signals 3. Signal & Image Processing 4. Sampling and Quantization 4. Image Acqusition and Digitization 5. Sensing and Perception (HVS) and the Color Image Processing 6. Image Operations 1. Point Image Operations 2. Local Image Operations and Filters 3. Global Image Operation and Transforms Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 2
Outline 3. Fundamentals of Signal and Image Processing Signals Definition Representation and Notation Important Signals Signal Processing Processing Chain Objectives Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 3
Fundamentals of Signal and Image Processing IMPORTANT SIGNALS
Important Signals: Impuls function a) Delta function, b) Periodic Delta function, c) An impulse function, and d) Periodic impulse functions. Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 5
Impulse Decomposition of a signal. An N point signal is broken into N components, each consisting of a single nonzero point. Important Signals: Impuls function The Scientist & Engineer's Guide to Digital Signal Processing, Smith Ch5, p101 Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 6
Important Signals: Sinc function for Otherwise with Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 7
Important Signals: Sinc function for Otherwise with Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 8
Important Signals: Dirac function Dirac delta (Normalized, Unit Impulse) function can be regarded as a limit value of the Gaussian function as approaches 0. Dirac delta function.. Wikipedia Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 9
Important Signals: Dirac you can composite every time-continuous signal as Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 10
Important Signals: Dirac and the time-discrete version is for Otherwise with or the composition of a time-discrete signal with Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 11
Important Signals: Sinc function Franciscus Vieta 1593: defined the sinc function as infinite product of cosine functions: Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 12
Outline 3. Fundamentals of Signal and Image Processing Signals Definition Representation and Notation Important Signals Signal Processing Processing Chain Objectives Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 13
Fundamentals of Signal and Image Processing SIGNAL & IMAGE PROCESSING
HOW DO WE DEFINE PROCESSING?
Signal Processing Proakis: A system may also be defined as a physical device/ or SW that performs an operation on a signal. Input Processing Output The system is characterized by the type of operation that it performs on the signal. For example, if the operation is linear, the system is called linear. If the operation on the signal is non linear, the system is said to be non linear, and so forth. Such operations are usually referred to as signal processing. Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 18
Signal Processing: Chain process is observed and recorded physical, technical, biological process (random) physical signal with meaningful information signal conversion (e.g. analog - digital) digital electrical signal still with meaningful information Computing, initiation of actions, storage of process characteristics signal reconversion (e.g. digital - analog) e.g. trigger for a motor meaningful information Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 19
Objectives Three main objectives: Extraction of information on states or procedures of processes = extraction of characteristic values or functions Signal compression (for faster transmission or better storage) = signal compression via coding Improving of signals = noise elimination, detection of something, coloring Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 20
Objectives: Information Extraction Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 21
Objectives: Compresion Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 22
Objectives: Image Compression Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 23
Objectives: Image Enhancment a- Original image b- Laplacian image c- Sharpened image by adding a and b Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 24
Objectives: Image Colorization Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 25
Reading BRIGGS, COCHRAN, Calculus: EARLY TRANSCENDENTALS Functions, Limit, Continouty. Proakis and D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications. 4th edition, Prentice-Hall, 2007. 1.1 Signals, Systems, and Signal Processing 1.2 Classification of Signals Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 26
Contacts Image Processing for Mechatronics Engineering, for senior students, Winter Semester 2017 Dr. Mohammed Abdel-Megeed M. Salem Media Engineering Technology, German University in Cairo Office: C7.311 Ext. 3580 Tel.: +2 011 1727 1050 Email: mohammed.salem@guc.edu.eg Salem, Image Processing for Mechatronics Engineering, Winter Semester 2017 Lecture 3 27