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Losslessy Compression of Multimedia Data Hao Jiang Computer Science Department Sept. 25, 2007

A Different Notation

Buffer + Reconstructed audio samples or image pixels + Entropy decoding Lossless Predictive Decoder Diagram Code stream

A different Notation

Local Decompression Buffer + Audio samples or image pixels - Coding 0101… Q + Lossy Predictive Coding

General Prediction Method

C B A X A B C D X For image: For Audio: Issues with Predictive Coding Not resistant to bit errors. Random access problem.

Transform Coding

1 3 4 5 3 2 1 0 3 4 5 6 2 4.5 2.5 0.5 3.5 5.5 + + + + + + 1 3 4 5 3 2 1 0 3 4 5 6 + + + + + + - - - - - - ½ ½ ½ ½ ½ ½ -1 -0.5 0.5 0.5 -0.5 0.5 ½ ½ ½ ½ ½ ½

Transform and Inverse Transform

y1 y2 = ½ ½ ½ -½ x1 x2 We did a transform for a block of input data using The inverse transform is: x1 x2 = 1 1 1 -1 y1 y2

Transform Coding

A proper transform focuses the energy into small number of numbers. We can then quantize these values differently and achieve high compression ratio. Useful transforms in compressing multimedia data: Fourier Transform Discrete Cosine Transform

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Name: 
lec7
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Hao
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Description: 
Losslessy Compression of Multimedia Data Hao Jiang Computer Science Department Sept. 25, 2007
Tags: 
quantiz | code | valu | transform | bit | distort | imag | predict
Created: 
9/1/2007 2:55:33 PM
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