DocumentCode :
2796806
Title :
Two-dimensional non separable adaptive lifting scheme for still and stereo image coding
Author :
Kaaniche, M. ; Pesquet, J.-C. ; Benazza-Benyahia, A. ; Pesquet-Popescu, B.
Author_Institution :
Signal & Image Proc. Dept., Telecom ParisTech, Paris, France
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
1298
Lastpage :
1301
Abstract :
Many existing works related to lossy-to-lossless image compression are based on the lifting concept. However, it has been observed that the separable lifting scheme structure presents some limitations because of the separable processing performed along the image lines and columns. In this paper, we propose to use a 2D non separable lifting scheme decomposition that enables progressive reconstruction and exact decoding of images. More precisely, we focus on the optimization of all the involved decomposition operators. In this respect, we design the prediction filters by minimizing the variance of the detail signals. Concerning the update filters, we propose a new optimization criterion which aims at reducing the inherent aliasing artefacts. Simulations carried out on still and stereo images show the benefits which can be drawn from the proposed optimization of the lifting operators.
Keywords :
data compression; image coding; optimisation; stereo image processing; decomposition operators; lossy-to-lossless image compression; optimization; prediction filters; stereo image coding; still image coding; two dimensional nonseparable adaptive lifting scheme; Communications technology; Decoding; Discrete transforms; Discrete wavelet transforms; Filters; Image coding; Image reconstruction; Multiresolution analysis; Signal design; Telecommunications; adaptive transforms; lifting schemes; lossy-to-lossless image compression; multiresolution analysis; non separable transforms; separable transforms; stereo coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495424
Filename :
5495424
Link To Document :
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