Fast 4x4 Tchebichef Moment Image Compression
This paper proposes a new approach based on 4×4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices, as well as a block-wise reconstruction technique to eliminate possible occurrences of...
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Published in | 2009 International Conference of Soft Computing and Pattern Recognition pp. 295 - 300 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2009
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Subjects | |
Online Access | Get full text |
ISBN | 1424453305 9781424453306 |
DOI | 10.1109/SoCPaR.2009.66 |
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Summary: | This paper proposes a new approach based on 4×4 discrete orthogonal Tchebichef moment for fast and efficient image compression. The method incorporates a simplified mathematical framework technique using matrices, as well as a block-wise reconstruction technique to eliminate possible occurrences of numerical instabilities at higher moment orders. The comparison between 4×4 Tchebichef moment transform and discrete cosine transform has been done. The results show significant advantages for 4×4 Tchebichef moment in terms of its error reconstruction and average bit-length of Huffman codes. |
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ISBN: | 1424453305 9781424453306 |
DOI: | 10.1109/SoCPaR.2009.66 |