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Efficient Image Compression Techniques: Lossy vs. Error-Free Compression

Explore the concepts of lossy and error-free image compression methods, understanding the trade-offs between quality and efficiency. Learn about optimal predictors, quantization, transform coding, and common transforms in image compression. Discover how compression ratios of up to 100-to-1 can be achieved while maintaining image quality.

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Efficient Image Compression Techniques: Lossy vs. Error-Free Compression

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  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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