A Smoothness Constraint Set based on Local Statistics of BDCT Coefficients for Image Postprocessing

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Title A Smoothness Constraint Set based on Local Statistics of BDCT Coefficients for Image Postprocessing
Author Gan, Xiangchao; Liew, Alan Wee-Chung; Yan, Hong
Journal Name Image and Vision Computing
Year Published 2005
Place of publication Netherlands
Publisher Elsevier Science
Abstract In blocking artifacts reduction based on the projection onto convex sets (POCS) technique, good constraint sets are very important. Until recently, smoothness constraint sets (SCS) are often formulated in the image domain, whereas quantization constraint set is defined in the block-based discrete cosine transform (BDCT) domain. Thus, frequent BDCT transform is inevitable in alternative projections. In this paper, based on signal and quantization noise statistics, we proposed a novel smoothness constraint set in the BDCT transform domain via the Wiener filtering concept. Experiments show that POCS using this smoothness constraint set not only has good convergence but also has better objective and subjective performance. Moreover, this set can be used as extra constraint set to improve most existing POCS-based image postprocessing methods.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.sciencedirect.com/science/journal/02628856
Alternative URI http://dx.doi.org/10.1016/j.imavis.2005.05.001
Volume 23
Issue Number 8
Page from 731
Page to 737
ISSN 0262-8856
Date Accessioned 2007-06-08
Date Available 2009-03-18T07:23:10Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Image Processing
URI http://hdl.handle.net/10072/21800
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1x

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