Digital Image Processing

Course Material

01 week-1-What Is Digital Image Processing? The Origins of Digital Image Processing, Examples of Fields that Use Digital Image Processing

02 week-2-Fundamental Steps in Digital Image Processing, Components of an Image Processing System,

03 week-3-Image Sampling and Quantization, Some Basic Relationships between Pixels, An Introduction to the Mathematical Tools Used in Digital Image Processing

04 week-4-. Intensity Transformations and Spatial Filtering Background, Some Basic Intensity Transformation Functions, Histogram Processing, Fundamentals of Spatial Filtering.

05 week-5-Smoothing Spatial Filters, Sharpening Spatial Filters, Combining Spatial Enhancement Methods, Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering.

06 week-6-Spatial Frequency, Fourier Theory, the Discrete Fourier Transform, Investigating Spectra.

07 week-7-Filtering of Images, Deconvolution.

08 Week-8-Mid Paper

09 week-9-Color Fundamentals, Color Models.

10 week-10-Storage Media, File Formats, The PBM, PGM, PPM Formats, The Portable Network Graphics (PNG) Format.

11 week-11-. Segmentation Fundamentals, Point Line and Edge Detection.

12 week-12-A Simple Non-contextual Technique: Thresholding, Contextual Techniques, Segmentation using Other Image Properties.

13 week-12-. Morphological Image Processing Introduction, Basic Concepts, Fundamental Operations.

14 week-13-. Compound Operations, Morphological Filtering, Greyscale Morphology.

15 week-14-. Image Compression Introduction, Redundancy, Performance Characterisation, Lossless Compression Techniques, Lossy Compression Techniques, Compression of Moving Images

16 week-15-Representation, Boundary Descriptors, Regional Descriptors, Use of Principal Components for Description, Relational Descriptors.