IMAGE PROCESSING SYLLABUSSEMESTER:-7TH BRANCH: - ECE Academic Year-2013UNIT NO:NAME OF THE UNITTHEORETICAL SESSIONSPRACTICAL SESSION TOPICS/CASE STUDY TOPICS

1DIGITAL IMAGE FUNDAMENTALS

Introduction - Elements of Digital Image Processing system - elements of visual perception. Image sensing and acquisition Image sampling and quantization image representation - Some basic relationship between pixel.

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2IMAGE TRANSFORMS

Introduction - 2D Discrete Fourier Transform Properties - Importance of Phase Walsh Hadamard Discrete Cosine Transform, Haar, KL transforms Singular Value Decomposition.

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3IMAGE ENHANCEMENT Enhancement through point operation - Histogram manipulation Gray level transformation - Neighbourhood operation Median filter - Image Sharpening Bit plane slicing - Homomorphic Filtering - Zooming operation.

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4IMAGE RESTORATION Model of Image Degradation/restoration process Inverse filtering - Least mean square (Wiener) filtering. Constrained least mean square restoration Singular value decomposition - Recursive filtering.

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5IMAGE COMPRESSION AND SEGMENTATION

Image compression schemes Information theory Run length, Huffman and arithmetic coding Vector quantization - JPEG.

Image Segmentation Classification Thresholding edge based segmentation Hough transform Active contour.

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TEXT BOOKS:

1. Rafael C Gonzalez and Richard E Woods, Digital Image Processing, Pearson Education, 3rd Edition, 2003.2. Jayarman .S , Esakkirajan .S and Veerakumar .T, Digital Image Processing, Tata McGraw Hill, 20103. Jain .A.K, Fundamentals of Digital Image Processing, Pearson Education, 1989

REFERENCE BOOKS:

1. William K Pratt, Digital Image Processing, John Willey, 2001.2. Millman Sonka, Vaclav Hlavac, Roger Boyle, and Broos Colic, Image Processing Analysis and Machine Vision, Thompson learning, 1999