**Lecture 1:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Image Formation

Inside the Camera - Projection

Inside the Camera - Sensitivity

Sensitivity and Color

Summary

Digital Image Formation

Sampling

Quantization

Summary

(R,G,B) Parameterization of Full Color Images

Grayscale Images

Images as Matrices

Homework I

**Lecture 2:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 1

Simple Processing - Transpose

Simple Processing - Flip Vertical

Simple Processing - Cropping

Simple Image Statistics - Sample Mean and Sample Variance

Simple Image Statistics - Histogram

Point Processing

Summary

Homework Rules

Homework II

**Lecture 3:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 2

Brief Note on Image Segmentation

Histogram Based Image Segmentation

Histogram Equalization

Summary

Homework III

**Lecture 4:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 3

Histogram Matching - Specification

Quantization

Summary

Homework IV

**Lecture 5:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 4

Designing the Reproduction Levels for Given Thresholds

MSQE Optimal Lloyd-Max Quantizer

Systems

Linear Systems

Linear Shift Invariant (LSI) Systems

Summary

Homework V

**Lecture 6:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 5

Convolution and Linear Filtering

The Fourier Transform of 2-D Sequences

Fourier Transform Types

Sampling and Aliasing

Summary

Homework VI

**Lecture 7:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 6

The Need for a ``Computable'' Fourier Transform

The 2-D DFT for Finite Extent Sequences

DFTs of Natural Images

Importance of Low Frequencies

Convolution by DFTs

Summary

Homework VII

**Lecture 8:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 7

2-D Low-Pass Filtering of Images

2-D High-Pass Filtering of Images

2-D Band-Pass Filtering of Images

Sampling and Antialiasing Filters

Noise Removal

Summary

Homework VIII

**Lecture 9:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 8

Fourier Transforms and Gibbs Phenomenon

Images and Edges

Edge Detection - Motivation

Human Visual System and Mach Bands

Summary

Homework IX

**Lecture 10:**[pdf lecture notes] [accompanying audio] [latex source]

**Outline:**

Summary of Lecture 9

``Perceptual'' Image Processing

Quantization and False Contours

Image Halftoning

Image Warping and Special Effects

Median Filtering

Oil Painting

Homework X

## 2 comments:

Image Processing Research Group

http://iprg.co.in/

A group of people motivated to work in Image Processing Domain. IPR Groups is an community of engineers and researchers who share an interest to participate in the evolution of image processing research domains.

The objective of IPR Groups is to provide details which helps in the research as well as scientific courses and project code source. This service is provided free of charge to any interested individual.

Thank you for the info. It sounds pretty user friendly. I guess I’ll pick one up for fun. thank u.

Image Processing India

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