{"id":831,"date":"2021-10-17T08:23:28","date_gmt":"2021-10-17T08:23:28","guid":{"rendered":"https:\/\/itgeeks.in\/home\/?p=831"},"modified":"2021-10-17T08:23:40","modified_gmt":"2021-10-17T08:23:40","slug":"2k6-ec-805-b-digital-image-processing","status":"publish","type":"post","link":"https:\/\/itgeeks.in\/home\/?p=831","title":{"rendered":"2K6 EC 805 (B): DIGITAL IMAGE PROCESSING"},"content":{"rendered":"\n

Module I (13 hours)<\/strong>
Digital Image Fundamentals :Elements Of Digital Image Processing Systems \u2013 Elements Of Visual Perception \u2013 Psycho Visual Model \u2013 Brightness \u2013 Contrast, Hue, Saturation, Mach Band Effect Color Image Fundamentals \u2013 Rgb \u2013 Hsi Models \u2013 Image Sampling, Quantization\u2013 Dither\u2013 Two\u2013 Dimensional Mathematical Preliminaries .1D DFT 2D transforms \u2013 DFT DCT Discrete Sine Walsh Hadamard \u2013 Slant \u2013 Haar \u2013 KLT \u2013 SVD \u2013 Wavelet Transform
Module II (13 hours)<\/strong>
Image Enhancement and Restoration-Histogram Modification And Specification Techniques \u2013 Noise Distributions \u2013 Spatial Averaging \u2013 Directional Smoothing Median \u2013 Geometric Mean \u2013 Harmonic Mean Contraharmonic And Yp Mean Filters \u2013 Homomorphic Filtering \u2013 Color Image Enhancement Image Restoration \u2013 Degradation Model \u2013 Unconstrained And Constrained Restoration \u2013 Inverse Filtering \u2013 Removal Of Blur Caused By Uniform Linear Motion \u2013 Wiener Filtering \u2013 Geometric Transformations \u2013 Spatial Transformations Gray Level\u2013 Interpolation .
Module III (13 hours)<\/strong>
Image Segmentation and Recognition\u2013 Image Segmentation by Region Growing \u2013 Region Splitting and Merging \u2013 Edge Linking \u2013 Image Recognition \u2013 Patterns and Pattern Classes \u2013 Matching By Minimum Distance Classifier \u2013 Matching by Correlation \u2013 Back Propagation Neural Network \u2013 Neural Network Applications in Image Processing .
Module IV (13 hours)<\/strong>
Image Compression: Need for Data Compression \u2013 Huffman \u2013 Run Length Encoding \u2013 Shift Codes \u2013 Arithmetic Coding – QM\/MQ codes\u2013 Vector Quantization \u2013 Block Truncation Coding \u2013 Transform Coding \u2013 DCT and Wavelet JPEG \u2013JPEG 2000- MPEG Standards \u2013 Concepts of Context Based Compression .<\/p>\n\n\n\n

TEXT BOOKS<\/strong>
1.\u00a0Rafael C Gonzalez and Richard E Woods, \u201cDigital Image Processing\u201d, Second Edition, Pearson Education Inc, 2004.<\/a>
2. Milman Sonka Vaclav Hlavac Roger Boyle, \u201cImage Processing Analysis and Machine Vision\u201d, 2nd Edition, Brooks\/Cole Vikas Publishing House, 1999<\/a>
Reference books<\/strong>
1. Anil K Jain, \u201cFundamentals of Digital Image Processing\u201d, Prentice Hall of India, 2002.
2.\u00a0David Salomon, \u201cData Compression the Complete Reference\u201d, 2nd Edition Springer Verlag, New York Inc, 2001.<\/a>
3.\u00a0William K Pratt, \u201cDigital Image Processing\u201d, John Wiley, New York, 2002.\u00a0\u00a0<\/a><\/p>\n\n\n\n

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S8 QUESTION PAPERS<\/a><\/div>\n\n\n\n
Notes<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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