Dip syllabus
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This document outlines the units of study for a course in Digital Image Processing. It covers topics such as image fundamentals, transforms including Fourier, filters in both the spatial and frequency domains, image restoration and reconstruction, color image processing, wavelets and multi-resolution processing, image compression, morphological image processing, and image segmentation. References for further reading on digital image processing are also provided.
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Dip syllabus
- 1. JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY: KAKINADA B.TECH. (ELECTRONICS AND COMMUNICATION ENGINEERING) DIGITAL IMAGE PROCESSING UNIT I Introduction Origins of Digital Image Processing, Uses Digital Image Processing. Fundamental Steps in Digital Image Processing, Components of an Image Processing System Digital Image Fundamentals Elements of Visual Perception, Light and Electromagnetic Spectrum, Imaging Sensing and Acquisition, Image Sampling and Quantization, Some Basic relationships between Pixels. An Introduction to the Mathematical Tools used in Digital Image Processing. Image Transforms: Need for Image Transforms, Spatial Frequencies in Image Processing, Introduction to Fourier Transform, Discrete Fourier Transform and its algorithm, Properties of Fourier transform Sampling Theorem, Parsevals Theorem, Discrete Cosine Transform, Discrete Sine Transform, Walsh Transform, Hadamard Transform, Haar Transform, Slant Transform, SVD and KL transform or Hotelling transform. UNIT II Intensity Transformations and Spatial Filtering Background, Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering, Smoothing Spatial Filters, Sharpening Spatial Filters, Combining Spatial Enhancement Methods, using Fuzzy techniques for Intensity Transformations and Spatial Filtering. UNIT III Filtering in the Frequency Domain Preliminary Concepts, Sampling and the Fourier Transform of Sampled Functions, The Discrete Fourier Transform(DFT) of one Variable, Extension to Functions of Two variables, Some Properties of the 2-D Discrete Fourier Transform, The Basic of Filtering in the Frequency Domain, Image Smoothing using Frequency Domain Filters, Selective Filtering, Implementation. UNIT IV Image Restoration and Reconstruction A Model of the Image Degradation/ Restoration Process, Noise Models, Restoration in the Presence of Noise Only- Spatial Filtering, Periodic Noise Reduction by Frequency Domain Filtering, Linear, Position-Invariant Degradations, Estimation the Degradation Function, Inverse Filtering Minimum Mean Square Error(Wiener) Filtering, Constrained Least Squares Filtering, Geometric Mean Filter, Image Reconstruction from Projections UNIT V Color Image Processing Color Fundamentals, Color Models, Pseudocolor Image Processing, Basic of Full-Color Image Processing, Color Transformations, Smoothing and Sharpening, Image Segmentation Based on Color, Noise in Color Images, Color Image Compression page 395 to 455 ie 60 pages UNIT VI Wavelets and Multi-resolution Processing Image Pyramids, Subband Coding & Haar Transform, Multiresolution Expansions, Wavelet Transform in one Dimension, The Fast Wavelet Transform, Wavelet Transforms in Two Dimensions, Wavelet packets Page 462 to 510 ie. 48 pages Image Compression Fundamentals, Various Compression methods Coding Techniques, Digital Image Watermarking page 526 to 615 ie 89 pages UNIT VII Morphological Image Processing Preliminaries, Erosion and Dilation, Opening and Closing, The Hit-or-Miss Transformation, Some Basic Morphological Algorithms, Grey-Scale Morphology. Page 627 to 676 ie. 49 pages UNIT VIII Image Segmentation Fundamentals, Point, Line and Edge Detection, Thresholding, Region-Based Segmentation, Segmentation Using Morphological Watersheds. The use of Motion in Segmentation. Page 689 to 785 ie 96 pages TEXT BOOKS : 1. Rafael C. Gonzalez and Richard E.Woods, Digital Image Processing Pearson Education,2011 2. S.Sridhar, Digital Image Processing Oxford Publishers, 2011 REFERENCES : 1. .S.Jayaraman, S.Esakkirajan, T. Veerakumar, Digital Image Processing Mc Graw Hill Publishers, 2009 2. B.Chandra and D. Dutta Majumber, Digital Image Processing and Analysis Prentice Hall of India, 2011/2012 3. Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall of India, 2012 4.Millan Sonka, Hlavac & Boyle, Digital Image Processing and Computer Vision, Cengage Learning Publishers, 2010