首页 | 本学科首页   官方微博 | 高级检索  
     


Non-separable lifting scheme with adaptive update step for still and stereo image coding
Authors:M. Kaaniche  A. Benazza-Benyahia
Affiliation:a Telecom ParisTech, Signal and Image Processing Department, 37-39, rue Dareau, 75014 Paris, France
b SUP’COM, URISA, Univ. 7 nov. Carthage, Cité Technologique des Communications, 2083, Tunisia
c Université Paris-Est, LIGM and UMR-CNRS 8049, Champs-sur-Marne, 77454 Marne-la-Vallée, France
Abstract:Many existing works related to lossy-to-lossless multiresolution image compression are based on the lifting concept. It is worth noting that a separable lifting scheme may not appear very efficient to cope with the 2D characteristics of edges which are neither horizontal nor vertical. In this paper, we propose to use 2D non-separable lifting schemes that still enable progressive reconstruction and exact decoding of images. Their relevant advantage is to yield a tractable optimization of all the involved decomposition operators. More precisely, we design the prediction operators by minimizing the variance of the detail coefficients. Concerning the update filters, we propose a new optimization criterion which aims at reducing the inherent aliasing artifacts. A theoretical analysis of the proposed method is conducted in terms of the adaptation criterion considered in the optimization of the update filter. Simulations carried out on still images and residual ones generated from stereo pairs show the benefits which can be drawn from the proposed optimization of the lifting operators.
Keywords:Lossless compression   Progressive reconstruction   Lifting schemes   Separable transforms   Non-separable transforms   Adaptive transforms   Multiresolution analysis   Wavelets   Stereo coding
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号