Prerequisites: CA 710, CA 707
Outline:
1. Digital image fundamentals - Introduction – Image Representation – Steps in Image Processing – Elements of Image Processing – Sampling and Quantization – Relationships between pixels – Imaging Geometry.
2. Image transforms - Fourier, Discrete Fourier, Fast Fourier, Walsh, Hadamard, Discrete Cosine and Haar Transforms - Image enhancement and restoration.
3. Domain methods – Point processing – Filtering – Color Image Processing – Degradation Model – Circulant and Block Circulant matrices – Restoration – Inverse Filtering- Image compression and coding.
4. Redundancy – Compression models – Coding Theorems – Different types of Coding – Lossy and Lossless compression - Compression Standards - Image segmentation.
5. Detection of Discontinuities – Boundary Detection – Edge linking – Thresholding – Segmentation – Image representation – Morphology – Interpretation.
Books:
1. R. Gonzalez and R. E. Wood, Digital Image Processing, Prentice Hall of India, 1992.
2. K.Pratt, Digital Image Processing, McGraw Hill, 1981.
