Title :
Improving DC coding models of JPEG arithmetic coder
Author_Institution :
Texas Tech Univ., Lubbock, TX, USA
fDate :
5/1/2004 12:00:00 AM
Abstract :
While conducting experiments with JPEG binary arithmetic coding, we noticed that if a natural photographic image is rotated by 90° 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.
Keywords :
Huffman codes; arithmetic codes; binary codes; binary decision diagrams; discrete cosine transforms; entropy codes; image coding; photographic process; DC coding models; DC coefficient coding; Huffman DC coding; JPEG binary arithmetic coding; QM-coder; arithmetic entropy coding; binary decision coding; discrete cosine transform; natural photographic image coding; statistical models; Arithmetic; Discrete cosine transforms; Entropy coding; Huffman coding; Image coding; Image converters; Laplace equations; Standards development; Transform coding; Video compression;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.826643