1. Fundamentals of Image Processing : Image Acquisition, Image Model, Sampling, Quantization, Relationship between pixels and distance measurement, connectivity, Image Geometry, Photographic film. Histogram : Definition, Decision of Contrast basing on histogram, Operations basing on histograms like image stretching , image sliding, Image classification. Definition and Algorithm of Histogram equalization
2. Image Transforms : A detail discussion on Fourier Transform, DFT, FFT, properties. A Detail discussion on WALSH Transformation, WFT, HADAMARD Transformation, DCT
3. Image Enhancement ( by Spatial Domain Methods )
a) Arithmetic and Logical operations, pixel or point operations, size operations
b) Smoothing filters – Mean, Median , Mode filters – Comparative study
c) Edge enhancement filters – Directorial filters, Sobel, Laplacian, Robert, KIRSCH, Homogeneity & DIFF Filtersm Prewitt Filter, Contrast based edge enhancement techniques – Comparative study
d) Low pass filters, high pass filters, sharpening filters – Comparative study
e) Comparative study of all filters
f) Color Image Processing
Image Enhancement : ( by Frequency Domain Method ) : Design of Low Pass, High Pass, Edge enhancement, Sharpening filters in frequency domain. Buffer Worth Filter, Homomorphic filters in frequency domain and spatial domain.
Image Compression : Definition, A brief discussion on – Run length encoding, contour coding, Huffman code, compression due to change in domain, compression due to quantization, compression at the time of image transmission, compression at the time of image transmission, brief discussion on Image Compression standards
Image segmentation : Definition, Characteristics of segmentation, Detection of Discontinuities, Threasolding, Pixel based segmentation method, Region based segmentation methods – segmentation by pixel aggregation, segmentation by sub region aggregation, histogram based segmentation, split and merge technique. Use of motion in segmentation (spatial domain technique only)
Morphology : Dilation, Erosion, Opening, Closing, Hit-and-Mass Transform, Boundary extraction, Region filling, connected components, thinning, Thickening, skeletons, Pruning Extensions to Gray – Scale Images. Application of Morphology in IP
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