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• week-1-What Is Digital Image Processing? The Origins of Digital Image Processing, Examples of Fields that Use Digital Image Processing
• week-2-Fundamental Steps in Digital Image Processing, Components of an Image Processing System,
• week-3-Image Sampling and Quantization, Some Basic Relationships between Pixels, An Introduction to the Mathematical Tools Used in Digital Image Processing
• week-4-. Intensity Transformations and Spatial Filtering Background, Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering.
• week-5-Smoothing Spatial Filters, Sharpening Spatial Filters, Combining Spatial Enhancement Methods, Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering.
• week-6-Spatial Frequency, Fourier Theory, the Discrete Fourier Transform, Investigating Spectra.
• week-7-Filtering of Images, Deconvolution.
• Week-8-Mid Paper
• week-9-Color Fundamentals, Color Models.
• week-10-Storage Media, File Formats, The PBM, PGM, PPM Formats, The Portable Network Graphics (PNG) Format.
• week-11-. Segmentation Fundamentals, Point Line and Edge Detection.
• week-12-A Simple Non-contextual Technique: Thresholding, Contextual Techniques, Segmentation using Other Image Properties.
• week-12-. Morphological Image Processing Introduction, Basic Concepts, Fundamental Operations.
• week-13-. Compound Operations, Morphological Filtering, Greyscale Morphology.
• week-14-. Image Compression Introduction, Redundancy, Performance Characterisation, Lossless Compression Techniques, Lossy Compression Techniques, Compression of Moving Images
• week-15-Representation, Boundary Descriptors, Regional Descriptors, Use of Principal Components for Description, Relational Descriptors.