IMAGE & VIDEO PROCESSING
UNIT I
IMAGE REPRESENTATION: Gray scale and colour Images, image sampling and quantization. Two dimensional orthogonal transforms: DFT, WHT, Haar transform, KLT, DCT.
UNIT II
IMAGE ENHANCEMENT: Filters in spatial and frequency domains, histogram-based processing, homomorphic filtering. Edge detection, non parametric and model based approaches, LOG filters, localization problem.
UNIT III
IMAGE RESTORATION: Degradation Models, PSF, circulant and block - circulant matrices, deconvolution, restoration using inverse filtering, Wiener filtering and maximum entropy-based methods.
UNIT IV
IMAGE SEGMENTATION: Pixel classification, Bi-level Thresholding, Multi-level Thresholding, P-tile method, Adaptive Thresholding, Spectral & spatial classification, Edge detection, Hough transform, Region growing.
UNIT V
FUNDAMENTAL CONCEPTS OF IMAGE COMPRESSION: Compression models, Information theoretic perspective, Fundamental coding theorem.
UNIT VI
LOSSLESS COMPRESSION: Huffman Coding, Arithmetic coding, Bit plane coding, Run length coding, Lossy compression: Transform coding, Image compression standards.
UNIT VII
VIDEO PROCESSING: Representation of Digital Video, Spatio-temporal sampling, Motion Estimation.
UNIT VIII
Video Filtering, Video Compression, Video coding standards.
TEXT BOOKS/REFERENCES:
1. R. C. Gonzalez, R. E. Woods,”Digital Image Processing”, Pearson Education. 2nd edition,2002
2. W. K. Pratt, “Digital image processing”, Prentice Hall, 1989
3. A. Rosenfold and A. C. Kak, “Digital image processing”, Vols. 1 and 2, Prentice Hall, 1986.
4. H. C. Andrew and B. R. Hunt, “Digital image restoration”, Prentice Hall, 1977
5. R. Jain, R. Kasturi and B.G. Schunck, “Machine Vision”, McGraw-Hill International Edition, 1995
6. A. M. Tekalp, “Digital Video Processing”, Prentice-Hall, 1995
7. A. Bovik, “Handbook of Image & Video Processing”, Academic Press, 2000
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