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

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Presentation on theme: "Lecture 19 Figures from Gonzalez and Woods, Digital Image Processing, Second Edition, 2002."— Presentation transcript:

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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