Lectures on Image Processing with Ppt Pdf slides ;

**.BZU.** · #1 29-10-2010, 03:01 AM

Lectures:

Lecture 1 Intro: Included 3 slides on forensic analysis.
Lecture 2 Digital Images: Included four slides on colormapping and two on image scrambling.
Lecture 3 Point Processing: Added to explanations on slide 16.
Lecture 4 Color Perception: No changes other than date from 2006 to 2007.
Lecture 5 Color Correction: Added 19 slides on the color cube and on RGB vs HSV representation.
Lecture 6 Fourier Transform: Reversed the order of slides 85 and 86.
Lecture 7 Convolution: No changes other than date from 2006 to 2007.
Lecture 8 Frequency Filtering: Added slide on on ideal bandpass filter.
Lecture 9 Sharpening: No changes other than date from 2006 to 2007.
Lecture 10 Pixelization, Quantization: Added 12 slides on steganography (hiding one picture in another.)
Lecture 11 Sampling, Aliasing: Minor format changes.
Lecture 12 Resampling: Errors corrected on pp 34 & 108, 9 pages of examples added.
Lecture 13 Rotating: Added seven slides on interpolation and warping.
Lecture 14 Uncorrelated Noise: No changes other than date from 2006 to 2007.
Lecture 15 Correlated Noise: No changes other than date from 2006 to 2007.
Lecture 16 Median Filters: No changes other than date from 2006 to 2007.
Lecture 17 Binary Morphology: Slide 18 corrected. New slide (49) added. Minor changes (clarifications) made to 25 other slides.
Lecture 18 Grayscale Morphology: New slide (43) added.

PDF Slides:
Lectures on Image Processing (June 1, 2007)

Lecture 01: Introduction to the Course (pdf)

Lecture 02: Digital Image Processing with Matlab (pdf)

Lecture 03: Point Processing of Images (pdf)

Lecture 04: Color Perception (pdf)

Lecture 05: Color Correction (pdf)

Lecture 06: The Fourier Transform (1-D & 2-D) (pdf)

Lecture 07: Spatial Filtering -- Image Convolution (pdf)

Lecture 08: Spatial Filtering in the Frequency Domain (pdf)

Lecture 09: Image Sharpening (pdf)

Lecture 10: Pixelization and Quantization (pdf)

Lecture 11: Image Sampling and Aliasing (pdf)

Lecture 12: Image Resampling (pdf)

Lecture 13: Image Rotation (pdf)

Lecture 14: Image Noise Reduction: Uncorrelated Noise (pdf)

Lecture 15: Image Noise Reduction: Correlated Noise (pdf)

Lecture 16: Mathematical Morphology -- Median FIlters (pdf)

Lecture 17: Mathematical Morphology -- Binary Images (pdf)

Lecture 18: Mathematical Morphology -- Grayscale Images (pdf)
Video Files

Vector median of 3-D vectors (animation)
Interactive Media Files

Wagon Wheel Aliasing (animation)
Other Files

Lecture 01: Introduction to the Course (ppt)

Lecture 02: Digital Image Processing with Matlab (ppt)

Lecture 03: Point Processing of Images (ppt)

Lecture 04: Color Perception (ppt)

Lecture 05: Color Correction (ppt)

Lecture 06: The Fourier Transform (1D & 2-D) (ppt)

Lecture 07: Spatial Filtering -- Image Convolution (ppt)

Lecture 08: Spatial FIltering in the Frequency Domain (ppt)

Lecture 09: Image Sharpening (ppt)

Lecture 10: Pixelization and Quantization (ppt)

Lecture 11: Image Sampling and Aliasing (ppt)

Lecture 12: Image Resampling (ppt)

Lecture 13: Image Rotation (ppt)

Lecture 14: Image Noise Reduction: Uncorrelated Noise (ppt)

Lecture 15: Image Noise Reduction: Correlated Noise (ppt)

Lecture 16: Mathematical Morphology -- Median FIlters (ppt)

Lecture 17: Mathematical Morphology -- Binary Images (ppt)

Lecture 18: Mathematical Morphology -- Grayscale Images (ppt)

Lecture Notes in Digital Image Processing

Lecture Notes: Lectures consist of lecture slides in pdf format and accompanying audio in realaudio format. Each slide has a button to activate the audio clip that presents that slide. You must download the audio clips and unzip to the same directory where you saved the pdf file to play the accompanying audio. Some examples and homeworks utilize matlab (you may also try octave).
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

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