Syllabus of University of Pune ME E & TC (Microwave)Semester I-DIGITAL IMAGE PROCESSING AND ANALYSIS

504224 ELECTIVE I
DIGITAL IMAGE PROCESSING AND ANALYSIS
Teaching Scheme Examination Scheme
Lectures: 3 Hrs./Week Theory: 100 Marks
Credit: 3

Digital image fundamentals: representation, elements of visual perception, image formation,
Image digitization, digital image properties, data structures.Image transforms: Fourier transform,
DCT, Walsh-Hadamard, Haar transform, K-L transform and Wavelet transforms. Image
enhancement: Spatial domain methods - point processing, histogram processing, Spatial filtering
- smoothing filters, sharpening filters, Frequency domain methods - low pass filtering, high pass
filtering, homomorphic filtering. Image restoration: Degradation model, Inverse filtering, Wiener
filter, Constrained Least squares restoration, Iterative Non-linear restoration, Geometric
transformations. Fundamentals of Color image processing: color models - RGB, HSI, CMY,
YIQ, Pseudo- color image processing, color transformations, spatial filtering of color images.
Image compression: fundamentals- redundancy: coding, inter pixel, psycho visual, Elements of
information theory, Lossless compression techniques, Lossy compression techniques, transform
image coding techniques, Image Compression standards - JPEG, MPEG. Image segmentation:
Point, line and edge detection, Edge linking and boundary description, Canny edge detection,
Hough transform, Thresholding, Region based segmentation, Morphological Image Processing.
Representation and Description: Representation, Boundary Descriptors, Regional Descriptors.
Object Recognition: Deterministic methods, Clustering, Statistical Classification, Syntactic
classification, Graph matching, Neural Nets, Fuzzy systems.

References:
1. Gonzalez, Woods & Eddins, “Digital Image Processing using MATLAB”, Pearson
Education.
2. Chanda & Majumdar, “Digital Image Processing and Analysis”, PHI.
3. Kenneth Castleman, “Digital Image Processing”, Pearson Education.
4. M.Sonka,V. Hlavac, R. Boyle, “Image Processing, Analysis and Machine Vision”,
Vikas Publishing House

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