SUBJECT CODE:CS1002 DEPARTMENT OF ECE

“One picture is worth more than ten thousand words” Anonymous

IMAGE PROCESSING lens object Image Formation image plane

light source Image Formation

projection through lens projection through lens image of object Image Formation

DIGITAL IMAGE PROCESSING projection onto discrete sensor array. Image Formation digital camera

sensors register average color. Image Formation sampled image

continuous colors, discrete locations. Image Formation discrete real- valued image

UNIT-1 DIGITAL IMAGE FUNDAMENTALS AND TRANSFORMS UNIT-2 IMAGE ENHANCEMENT TECHNIQUES UNIT-3 IMAGE RESTORATION UNIT-4 IMAGE COMPRESSION UNIT-5 IMAGE SEGMENTATION AND REPRESENTATION

 Elements of visual perception – Image sampling and quantization-Basic relationship between pixels-Basic geometric transformation  Introduction to Fourier transform and DFT- Properties of 2D Fourier transform-FFT- Seperable image transforms  Walsh hadamard- discrete cosine transform- haar–slanttransform-karhunen–loeve transform

 Spatial Domain methods: Basic grey level transformation – Histogram equalization – Image subtraction.  Image averaging –Spatial filtering: Smoothing, sharpening filters – Laplacian filters  Frequency domain filters : Smoothing – Sharpening filters – Homomorphic filtering

Gray Level Image HISTOGRAM IMAGE IMAGEIMAGE

 Model of Image Degradation/restoration process – Noise models – Inverse filtering -Least mean square filtering  Constrained least mean square filtering – Blind image restoration – Pseudo inverse – Singular value decomposition.

INVERSE FILTERING

 Lossless compression: Variable length coding – LZW coding – Bit plane coding- predictive coding-DPCM  Lossy Compression: Transform coding – Wavelet coding – Basics of Image compression standards: JPEG, MPEG,Basics of Vector quantization

IMAGE C O M P R E S I O N

 Edge detection – Thresholding - Region Based segmentation – Boundary representation: chair codes- Polygonal approximation  Boundary segments – boundary descriptors: Simple descriptors-Fourier descriptors - Regional descriptors –Simple descriptors- Texture

EDGE DETECTION

Rafael C Gonzalez, Richard E Woods 2nd Edition, Digital Image Processing - Pearson Education 2003.

1.William K Pratt, Digital Image Processing John Willey (2001) 2.Image Processing Analysis and Machine Vision – Millman Sonka, Vaclav hlavac, Roger Boyle, Broos/colic, Thompson Learniy (1999). 3. A.K. Jain, PHI, New Delhi (1995)- Fundamentals of Digital Image Processing. 4.Chanda Dutta Magundar – Digital Image Processing and Applications, Prentice Hall of India, 2000

Lectures_on_Image_Processing

Boundary descriptors Sharpening filters Edge detection Image averaging

Discrete cosine transform Elements of visual perception. Thresholding Polygonal approximation. Basics of image compression standards