Presentation 1998/7/24
A study on a lossless coding of the super high definition images using the QM-Coder
Yoshimitsu KUROKI, Kojiro SHIBA, Yoshifumi UESHIGE, Teiji OHTA,
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Abstract(in English) In the JPEG lossless mode, the prediction error is entropy-encoded by either Huffman coder or binary arithmetic coder so-called QM-Coder. In the case where the latter is employed, a statistical model is required. The statistical model notates some binary decisions for the prediction error and Markov model conditioning by making use of the previous coded pels. In this paper, although Markov model conditioning is same as JPEG we discuss some schemes of binary representation and state assignment by referring a prediction error distribution of Super High definition Images. The proposed model needs 104 states, which correspond to approximately 2/3 of JPEG. The simuration results show that proposed model provides 1.204~1.556% better compression performance than that of JPEG.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Super high definition image / losless coding / Statistical model / QM-Coder
Paper # IE98-31,PRMU98-54,MVE98-54
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Conference Information
Committee MVE
Conference Date 1998/7/24(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on a lossless coding of the super high definition images using the QM-Coder
Sub Title (in English)
Keyword(1) Super high definition image
Keyword(2) losless coding
Keyword(3) Statistical model
Keyword(4) QM-Coder
1st Author's Name Yoshimitsu KUROKI
1st Author's Affiliation Kagoshima National Colledge of Technology()
2nd Author's Name Kojiro SHIBA
2nd Author's Affiliation Kagoshima National Colledge of Technology
3rd Author's Name Yoshifumi UESHIGE
3rd Author's Affiliation Kagoshima National Colledge of Technology
4th Author's Name Teiji OHTA
4th Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology
Date 1998/7/24
Paper # IE98-31,PRMU98-54,MVE98-54
Volume (vol) vol.98
Number (no) 208
Page pp.pp.-
#Pages 7
Date of Issue