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Tit

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Divide image into blocks. Multiply pixel matrix with invertible matrix ... Quantize entries that are less important more coarsely. 12/4/09. GdH. 4 ... – PowerPoint PPT presentation

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Title: Tit


1
Design of Large ICs (5kk53)
The application Image compression G. de Haan
2
Image matrix of brightness values
  • More pixels per image ? better resolution ? more
    storage capacity

3
JPEG principle
  • Multiply pixel matrix with invertible matrix
  • Result matrix has properties that some entries
    are more important for image quality than others
  • Quantize entries that are less important more
    coarsely

Divide image into blocks
4
JPEG compression
Data reduced to 20
Data reduced to 10
5
But if you drive it too far.
Quality with compression factor 100, worse than
100 times less pixels
6
Video compression
.bmp
.jpg
JPEG decoder
JPEG encoder
.bmp
quality
7
Different qualities of up-scaling
Simple bi-linear
Advanced content adaptive
8
Design issues
  • What is the cost of the various coding options?
  • Which option gives the best performance?
  • Define a good price performance point and
    identify what the choices depend upon

9
Tools
  • PaintshopPro
  • for bmp to jpg with variable compression
  • Jpgdrc
  • to convert jpg to bmp
  • To down-scale images
  • To linearly up-scale
  • To up-scale with content adaptive filter (DRC)
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