8CS4.3 DIGITAL IMAGE PROCESSING (Common to Comp. Engg. & Info. Tech) |
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| Units | Contents of the subjects |
| Image Representation, Two-Dimensional Systems, Two-Dimensional Fourier Transform, Image Stochastic Characterization, Psychophysical Vision Properties, Light Perception, Eye Physiology, Visual Phenomena, Monochrome Vision Model, Color Vision Model, photometry. | |
| Image Sampling and Reconstruction Concepts, Image Sampling Systems, Image Reconstruction Systems, Discrete Image Mathematical Representation, Vector-Space Image Representation, Generalized Two-Dimensional Linear Operator, Image Statistical Characterization, Image Probability Density Models, Linear Operator Statistical Representation, Image Quantization, Scalar Quantization, Processing Quantized Variables, Monochrome Image Quantization. | |
| Superposition and Convolution: Finite-Area Superposition and Convolution, Sampled Image Superposition and Convolution, Superposition and Convolution Operator Relationships, 8 Unitary Transforms, General Unitary Transforms, Fourier Transform, Cosine, Sine, and Hartley Transforms, Hadamard, Haar, Linear Processing Techniques, Transform Domain Processing, Transform Domain Superposition. | |
| IMAGE IMPROVEMENT: Image Enhancement, Contrast Manipulation, Histogram Modification, Noise Cleaning, Edge Crispening, Image Restoration Models, General Image Restoration Models, Optical Systems Models, Photographic Process Models, Discrete Image Restoration Models, Point and Spatial Image Restoration Techniques, Sensor and Display Point Nonlinearity Correction, Continuous Image Spatial Filtering Restoration, Statistical Estimation Spatial Image Restoration, Geometrical Image Modification, Translation, Minification, Magnification, and Rotation, Perspective Transformation, Camera Imaging Model, | |
| Morphological Image Processing, Binary Image Connectivity, 6 Gray Scale Image Morphological Operations, Edge Detection, Edge, Line, and Spot Models, First-Order Derivative Edge Detection, Second-Order Derivative Edge Detection, Image Feature Extraction: Image Feature Evaluation, Amplitude Features, Transform Coefficient Features, Texture Definition, Image Segmentation , Amplitude Segmentation Methods, Clustering Segmentation Methods, Region Segmentation Methods, Boundary Detection, | |
Text/References:
1. DIGITAL IMAGE PROCESSING: PIKS Inside, Third Edition, WILLIAM K. PRATT, PixelSoft,
Inc., Los Altos, California, ISBN: 9780471374077
2. Anil Jain: Digital Image Processing,
3. Gonzalez Woods: Image Processing