Image Processing (CSC332) — Notes, Syllabus & Past Questions

Digital techniques for manipulating and analyzing image data.

Elective Course6 Chapters
Chapter 1Past Questions

Introduction

Digital Image, A Simple Image Model, Fundamental steps in Image Processing, Elements of Digital Image Processing systems, Element of visual perception, Sampling and Quantization.

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Chapter 2Past Questions

Image Enhancement and Filter in Spatial Domain

Point operations, contrast stretching, clipping and thresholding, digital negative, intensity level slicing, bit plane slicing, Histogram Equalization, Spatial operations: Averaging, median.

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Chapter 3Past Questions

Image Enhancement in the Frequency Domain

Introduction to Fourier Transform and the frequency Domain, Computing and Visualizing the 2D DFT, Fast Fourier Transform, Smoothing Frequency Domain Filters, Sharpening Frequency Domain Filters.

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Chapter 4Past Questions

Image Restoration and Compression

Image Restoration: Models for Image degradation and restoration process, Noise Models, Estimation of Noise Parameters, Restoration Filters, Bandrejected Filters, Bandpass Filters.

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Chapter 5Past Questions

Introduction to Morphological Image Processing

Logic Operations involving binary images, Dilation and Erosion, Opening and Closing, Unit 6: Image Segmentation (8 Hrs.) Image Segmentation: Point Detection, Line Detection, Edge Detection.

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Chapter 7Past Questions

Representations, Description and Recognition

Introduction to some descriptors (Chain codes, Signatures, Shape Numbers, Fourier Descriptors), Patterns and pattern classes, Decision-Theoretic Methods.

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Related Study Resources for Image Processing (CSC332)

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