Digital Image Processing pdf slide note

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

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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

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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

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Lecture 4: [pdf lecture notes] [accompanying audio] [latex source] Outline: Summary of Lecture 3 Histogram Matching - Specification Quantization Summary Homework IV

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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

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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

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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

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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

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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

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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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