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Digital image processing Lecture Notes and ppts


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


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2 comments:

Anonymous said...

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.

gowshika said...

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