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Image Processing (2170712)

Teaching Scheme (in Hours)

Theory Tutorial Practical Total
3 0 2 5

Subject Credit :  5

Examination Scheme (in marks)

Theory
ESE (E)
Theory
PA (M)
Practical
ESE Viva (V)
Practical
PA (I)
Total
70 30 30 20 150

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

Reference Books

Sr. Title Author Publication Amazon Link
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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