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.
NA
2IMAGE TRANSFORMS
Introduction - 2D Discrete Fourier Transform Properties -
Importance of Phase Walsh Hadamard Discrete Cosine Transform, Haar,
KL transforms Singular Value Decomposition.
NA
3IMAGE ENHANCEMENT Enhancement through point operation -
Histogram manipulation Gray level transformation - Neighbourhood
operation Median filter - Image Sharpening Bit plane slicing -
Homomorphic Filtering - Zooming operation.
NA
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.
NA
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.
NA
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