Syllabus Image Processing - (CEC366) UNIT I DIGITAL IMAGE FUNDAMENTALS Steps in Digital Image Processing - Components - Elements of Visual Perception - Image Sensing and Acquisition - Image Sampling and Quantization - Relationships between pixels - Color image fundamentals - RGB, HSI models, Two-dimensional mathematical preliminaries, 2D transforms - DFT, DCT. (Chapter - 1) UNIT II IMAGE ENHANCEMENT Spatial Domain : Gray level transformations - Histogram processing - Basics of Spatial Filtering - Smoothing and Sharpening Spatial Filtering, Frequency Domain : Introduction to Fourier Transform - Smoothing and Sharpening frequency domain filters - Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement. (Chapter - 2) UNIT III IMAGE RESTORATION Image Restoration - degradation model, Properties, Noise models - Mean Filters - Order Statistics - Adaptive filters - Band reject Filters - Band pass Filters - Notch Filters - Optimum Notch Filtering - Inverse Filtering - Wiener filtering. (Chapter - 3) UNIT IV IMAGE SEGMENTATION Edge detection, Edge linking via Hough transform - Thresholding - Region based segmentation - Region growing - Region splitting and merging - Morphological processing- erosion and dilation, Segmentation by morphological watersheds - basic concepts – Dam construction - Watershed segmentation algorithm. (Chapters - 4, 5) UNIT V IMAGE COMPRESSION AND RECOGNITION Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG. Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors - Topological feature, Texture - Patterns and Pattern classes - Recognition based on matching. (Chapters - 6, 7)
