Improving DC coding models of JPEG arithmetic coder

While conducting experiments with JPEG binary arithmetic coding, we noticed that if a natural photographic image is rotated by 90/spl deg/ and then coded, the DC code size is reduced in general. This led us to investigate the discrete cosine transform and statistical models of JPEG arithmetic coder,...

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Vydané v:IEEE signal processing letters Ročník 11; číslo 5; s. 505 - 508
Hlavný autor: Lakhani, G.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.05.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Arithmetic
Arithmetic coding
Blocking
Coding
Direct current
Discrete cosine transforms
Entropy coding
Huffman coding
Image coding
Image compression
Image converters
JPEG encoders-decoders
Laplace equations
Mathematical models
Standards development
Transform coding
Video compression
ISSN:1070-9908, 1558-2361
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Popis
Shrnutí:While conducting experiments with JPEG binary arithmetic coding, we noticed that if a natural photographic image is rotated by 90/spl deg/ and then coded, the DC code size is reduced in general. This led us to investigate the discrete cosine transform and statistical models of JPEG arithmetic coder, and formulate two modifications to DC coefficient coding. We propose that the DC of a block should be predicted from the block just above. This modification reduces the DC code size further by about 9% on average. This change is more important for arithmetic coding than Huffman DC coding. We also propose a change in the binary decision coding order specified by the DC statistical model; it produces only a minor reduction in the code size.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2004.826643