1. SUBJECT CODE:CS1002 DEPARTMENT OF ECE

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

3. IMAGE PROCESSING lens object Image Formation image plane

4. light source Image Formation

5. projection through lens projection through lens image of object Image Formation

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

7. sensors register average color. Image Formation sampled image

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

9. 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

10.  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

12.  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

13. Gray Level Image HISTOGRAM IMAGE IMAGEIMAGE

14.  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.

15. INVERSE FILTERING

16.  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

17. IMAGE C O M P R E S I O N

18.  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

19. EDGE DETECTION

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

21. 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

22. www.imageprocessingplace.com http://www.archive.org/details/ Lectures_on_Image_Processing

23. Boundary descriptors Sharpening filters Edge detection Image averaging

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