SCHEME/SYLLABUS
: MCA(SE)
(Fifth Semester)
Code
No: IT 809
Paper : Digital Image Processing
Introduction And
Digital Image Fundamentals
Digital Image Representation, Fundamental Steps in Image Processing, Elements
of Digital image processing systems, Sampling and quantization, some basic
relationships like neighbours, connectivity, Distance measure between pixels,
Imaging Geometry.
Image Transforms
Discrete Fourier Transform, Some properties of the two-dimensional fourier
transform, Fast fourier transform, Inverse FFT.
Image Enhancement
Spatial domain methods, Frequency domain methods, Enhancement by point processing,
Spatial filtering, Lowpass filtering, Highpass filtering, Homomorphic filtering,
Colour Image Processing.
Image Restoration
Degradation model, Diagnolization of Circulant and Block-Circulant Matrices,
Algebraic Approach to Restoration, Inverse filtering, Wiener filter, Constrained
Least Square Restoration, Interactive Restoration, Restoration in Spatial
Domain.
Image Compression
Coding, Interpixel and Psychovisual Redundancy, Image Compression models, Error
free comparison, Lossy compression, Image compression standards.
Image Segmentation
Detection of Discontinuities, Edge linking and boundary detection, Thresholding,
Region Oriented Segmentation, Motion based segmentation.
Representation
and Description
Representation schemes like chain coding, Polygonal Approximatiion, Signatures,
Boundary Segments, Skeleton of region, Boundary description, Regional descriptors,
Morphology.
Recognition and
Interpretation
Elements of Image Analysis, Pattern and Pattern Classes, Decision-Theoretic
Methods, Structural Methods, Interpretatiion.
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