Lossless embedded compression algorithm with context-based error compensation for video application

With the increase of image resolution in video application, the memory bandwidth is a critical problem in video coding. An embedded compression algorithm is a technique that can compress the frame data when stored in memory. It is possible to reduce memory requirements. In this paper, we propose a l...

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Bibliographic Details
Published in:2012 IEEE 16th International Symposium on Consumer Electronics pp. 1 - 4
Main Authors: Hyerim Jeong, Jaehyun Kim, Kyohyuk Lee, Kiwon Yoo, Jaemoon Kim
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2012
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Summary:With the increase of image resolution in video application, the memory bandwidth is a critical problem in video coding. An embedded compression algorithm is a technique that can compress the frame data when stored in memory. It is possible to reduce memory requirements. In this paper, we propose a lossless embedded compression algorithm with context-based error compensation to reduce the memory bandwidth requirement. Experimental results have shown at least 50% memory bandwidth reduction on average and the data reduction ratio of the proposed algorithm is up to 5% higher than previously proposed lossless embedded compression algorithm [2].
ISBN:9781467313544
1467313548
ISSN:0747-668X
2159-1423
DOI:10.1109/ISCE.2012.6241723