Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002. - PowerPoint PPT Presentation

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Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002.

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Title: Lecture 19 Author: cse Last modified by: cse Created Date: 11/28/2005 8:41:20 PM Document presentation format: On-screen Show Company: psu Other titles – PowerPoint PPT presentation

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Title: Figures%20from%20Gonzalez%20and%20Woods,%20Digital%20Image%20Processing,%20Second%20Edition,%202002.


1
Lecture 19
  • Figures from Gonzalez and Woods, Digital Image
    Processing, Second Edition, 2002.

2
Lossy Compression
  • Error free compression loses no information, it
    just looks for a more optimal way to store it.
    Compression is at best about 3-to-1.
  • Lossy compression imposes a (tolerable)
    distortion to store the image more efficiently.
    We are actually giving up something.
  • Compression can be 100-to-1 and indistinguishable
    from originals at 10-to-1 or even 50-to-1.

3
Chapter 8 Image Compression
4
Some Definitions
5
Chapter 8 Image Compression
6
Chapter 8 Image Compression
7
Optimal Predictors
8
Four Linear Predictors
9
Chapter 8 Image Compression
10
Optimal Quantization
11
Chapter 8 Image Compression
12
Chapter 8 Image Compression
13
Chapter 8 Image Compression
14
Chapter 8 Image Compression
15
Chapter 8 Image Compression
16
Transform Coding
17
Chapter 8 Image Compression
18
Common Transforms
19
Chapter 8 Image Compression
20
Chapter 8 Image Compression
21
Chapter 8 Image Compression
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