A Robust Ordering Scheme for Entropy Coding in Gray-Level Image

In this paper, we propose a robust ordering scheme for entropy coding in gray-level image. The issue is to reduce additional information needed when bitstream is transmitted. The proposed scheme uses the ordering method of co-occurrence count about gray-levels in neighboring pixels. That is, gray-le...

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Bibliographic Details
Published in2008 Second International Conference on Future Generation Communication and Networking Symposia Vol. 3; pp. 81 - 84
Main Authors Nam Yee Kim, Kang Soo You, Hoon Sung Kwak
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Application software
Arithmetic
Biomedical imaging
Bit rate
Conferences
Digital images
Entropy coding
Gray-Level Image
Image coding
Lossless Image Compression
Military satellites
Ordering Scheme
Robustness
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Summary:In this paper, we propose a robust ordering scheme for entropy coding in gray-level image. The issue is to reduce additional information needed when bitstream is transmitted. The proposed scheme uses the ordering method of co-occurrence count about gray-levels in neighboring pixels. That is, gray-levels are substituted by their ordering numbers without additional information. From the results of computer simulation, it is verified that the proposed scheme could be reduced the compression bit rate by up to 44.12%, 18.41% comparing to the entropy coding and conventional ordering scheme respectively. So our scheme can be successfully applied to the application areas that require of losslessness and data compaction.
ISBN:1424434300
9781424434305
DOI:10.1109/FGCNS.2008.31