首页 | 本学科首页   官方微博 | 高级检索  
     


Reduction of transients during lifting based spatial switching of two-channel filter banks
Affiliation:1. Telecom Bretagne, Département Image et Traitement de l''Information, Brest 29238, France;2. INSERM U1101, Laboratoire de Traitement de l''Information Médicale, Brest 29238, France;3. MEDECOM, Plougastel Daoulas 29470, France;1. Universidad Carlos III de Madrid, Leganés, Spain;2. Universidad Politécnica de Madrid, Madrid, Spain;1. Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia;2. Faculty of Engineering & Science, Curtin University, 98000 Miri, Sarawak, Malaysia;3. Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;1. Image Processing and Data Mining (IPDM) Research Lab, Faculty of Computer Engineering and Information Technology, Shahrood University of Technology, Iran;2. Faculty of Electrical Engineering & Robotics, Shahrood University of Technology, Shahrood, Iran
Abstract:Time/space varying filter banks (FBs) are useful for non-stationary images. Lifting factorization of FBs results in structural perfect reconstruction even during the transition from one FB to other. This allows spatial switching between arbitrary FBs, avoiding the need to design border FBs. However, we show that lifting based switching between arbitrarily designed FBs induces spurious transients in the subbands during the transition. In this paper, we study the transients in lifting based switching of two-channel FBs. We propose two solutions to overcome the transients. One solution consists of a boundary handling mechanism to switch between any arbitrarily designed FBs, while the other solution proposes to design the FBs with a set of conditions applied on lifting steps. Both solutions maintain good frequency response during the transition and eliminate the transients. Using the proposed methods, we develop a spatial adaptive transform by switching between the long length FBs (either the JPEG2000 9/7 FB or the newly designed 13/11 FB) and the short length FBs (JPEG2000 5/3 FB) for lossy image compression. This adaptive transform shows PSNR improvement for images over JPEG2000 9/7 FB in low bit rate region (up to 0.2 bpp) and subjective improvements with reduced ringing up to medium bit rates (up to 0.6 bpp).
Keywords:Wavelets  Lifting  Time-varying filter banks  Adaptive image transforms
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