On the Representation of Wideband Images Using Permutations for Lossless Coding

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We introduce a novel method for representing and coding wideband signals using permutations. The signal samples are ﬁrst sorted, and then encoded using Differential Pulse Coding Modulation. We show that our method is optimal for DPCM coding and develop a novel algorithm for encoding the permutation information efﬁciently. We show that the new algorithm achieves coding gains over Huffman coding.

Marios S. Pattichis, Alan C. Bovik, John W. Havlic

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DPCM Coding | Huffman Coding | Image Analysis | Pulse Coding Modulation | SSIAI 2000 |

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Added	01 Aug 2010
Updated	01 Aug 2010
Type	Conference
Year	2000
Where	SSIAI
Authors	Marios S. Pattichis, Alan C. Bovik, John W. Havlicek, Nicholas D. Sidiropoulos

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On the Representation of Wideband Images Using Permutations for Lossless Coding

DPCM Coding | Huffman Coding | Image Analysis | Pulse Coding Modulation | SSIAI 2000 |

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