RGTU/RGPV EC-7102 Digital Image Processing Syllabus
RGTU/RGPV Digital Image Processing SYLLABUS
Electronics and Communication Engineering EC 7th Semester Syllabus
EC-7102 Digital Image Processing Course Content: Unit-I : Digital Image Processing (DIP)
Introduction, examples of fields that use DIP, fundamental Steps in DIP, components of an image processing System.
Digital Image Fundamentals: elements of visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels.
Introduction, examples of fields that use DIP, fundamental Steps in DIP, components of an image processing System.
Digital Image Fundamentals: elements of visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels.
Unit-II : Image Transforms
Two-dimensional (2-D) impulse and its shifting properties, 2-D continuous Fourier Transform pair, 2-D sampling and sampling theorem, 2-D Discrete Fourier Transform (DFT), properties of 2-D DFT.
Other transforms and their properties: Cosine transform, Sine transform, Walsh transform, Hadamard transform, Haar transform, Slant transform, KL transform.
Unit-III : Image Enhancement
Spatial domain methods: basic intensity transformation functions, fundamentals of spatial filtering, smoothing spatial filters (linear and non-linear), sharpening spatial filters (unsharp masking and highboost filters), combined spatial enhancement method.
Frequency domain methods: basics of filtering in frequency domain, image smoothing filters (Butterworth and Guassian low pass filters), image sharpening filters (Butterworth and Guassian high pass filters), selective filtering.
Unit-IV : Image Restoration
Image degradation/restoration, noise models, restoration by spatial filtering, noise reduction by frequency domain filtering, linear position invariant degradations, estimation of degradation function, inverse filtering, Wiener filtering, image reconstruction from projection.
Unit-V : Image Compression
Fundamentals of data compression: basic compression methods: Huffman coding, Golomb coding, LZW coding, Run-Length coding, Symbol based coding. Digital Image Watermarking, Representation and Description- minimum perimeter polygons algorithm (MPP).
References:
1. R. C. Gonzalez and R. E. Woods: Digital Image Processing, 3rd Edition, Pearson Education.
2. A. K. Jain: Fundamentals of Digital Image Processing, PHI Learning.
3. S. Annadurai and R. Shanmugalakshmi: Fundamentals of Digital Image Processing, Pearson Education.
4. M. Sonka, V. Hlavac and R. Boyle: Digital Image Processing and Computer Vision: Cengage Learning.
5. B. Chanda and D. D. Majumder: Digital Image Processing and Analysis, PHI Learning.
6. S. Jayaraman, S. Esakkirajan and T. Veerakumar: Digital Image Processing, TMH.
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