Teaching Scheme (in Hours)
Subject Credit : 5
Examination Scheme (in marks)
ESE Viva (V)
Syllabus Content Download
Unit-1: Digital image fundamentals
Light and Electromagnetic spectrum, Components of Image processing system, Image formation and digitization concepts, Neighbours of pixel adjacency connectivity, regions and boundaries, Distance measures, Applications.
Unit-2: Image Enhancements
In spatial domain: Basic gray level transformations, Histogram processing, Using arithmetic/Logic operations, smoothing spatial filters, Sharpening spatial filters. In Frequency domain: Introduction to the Fourier transform and frequency domain concepts, smoothing frequency-domain filters, Sharpening frequency domain filters.
Unit-3: Image Restoration
Various noise models, image restoration using spatial domain filtering, image restoration using frequency domain filtering, Estimating the degradation function, Inverse filtering.
Unit-4: Colour Image processing
Colour fundamentals, Colour models, Colour transformation, Smoothing and Sharpening, Colour segmentation.
Unit-5: Wavelet and Multi-resolution processing
Image pyramids, Multi-resolution expansion, wavelet transform
Unit-6: Image compression
Introduction, Image compression model, Error-free compression, Lossy compression.
Unit-7: Image segmentation
Detection of discontinuities, Edge linking and boundary detection, thresholding
|1||Digital Image Processing||Rafel C. Gonzalez and Richard E. Woods||Pearson Education|
|2||Digital Image Processing||Bhabatosh Chanda and Dwijesh Majumder||PHI|
|3||Fundamentals of Digital Image Processing||Anil K Jain||PHI|
|4||Digital Image Processing Using Matlab||Rafel C. Gonzalez and Richard E. Woods||Pearson Education|
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