Title :
Error resilient pre/post-filtering for DCT-based block coding systems
Author :
Tu, Chengjie ; Tran, Trac D. ; Liang, Jie
Author_Institution :
Microsoft Digital Media Div., Microsoft Corp., Redmond, WA, USA
Abstract :
Block coding based on the discrete cosine transform (DCT) is very popular in image and video compression. Pre/post-filtering can be attached to a DCT-based block coding system to improve coding efficiency as well as to mitigate blocking artifacts. Previously designed pre/post-filters are optimized to maximize coding efficiency solely. For image and video communication over unreliable channels, those pre/post-filters are sensitive to transmission errors. This paper addresses the problem of designing pre/post-filters which are more error resilient. Reconstruction performance is measured by how low the average reconstruction error is, and how uniformly the reconstruction error is distributed. A family of pre/post-filters is designed to provide desired tradeoffs between coding efficiency and robustness to transmission errors. Experiments show that these filtering operators can achieve superior reconstruction performance without sacrificing much coding performance.
Keywords :
block codes; data compression; discrete cosine transforms; filtering theory; transform coding; video coding; DCT-based block coding systems; blocking artifacts mitigation; discrete cosine transform; error resilient postfiltering; error resilient prefiltering; image communication; image compression; reconstruction error; transmission errors; unreliable channels; video communication; video compression; Block codes; Design optimization; Discrete cosine transforms; Filtering; Image coding; Image reconstruction; Quantization; Transform coding; Video coding; Video compression; Block coding; discrete cosine transform (DCT); error resilience; pre/post-filtering; Algorithms; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.860350