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27

ICIP
2006
IEEE

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Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition

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Lossy-to-Lossless Compression of Images Based on Binary Tree Decomposition

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A new lossy-to-lossless quality-progressive method for image coding is presented. This method is based on binary tree decomposition and context-based arithmetic coding. Experimental results obtained with the eighteen 8-bit ISO images show that the proposed method attains an average lossless compression gain of 7.9% with respect to JPEG2000. Compared to JPEG-LS, the compression gain is 3.1%, but this compression standard does not allow lossy-to-lossless decoding.

António J. R. Neves, Armando J. Pinho

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Binary Tree Decomposition | Compression Standard | Context-based Arithmetic Coding | ICIP 2006 | Image Processing | Lossless Compression Gain |

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More Details (n/a)

Added	22 Oct 2009
Updated	22 Oct 2009
Type	Conference
Year	2006
Where	ICIP
Authors	António J. R. Neves, Armando J. Pinho

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