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Optimal block boundary pre/postfiltering for wavelet-based image and video compression.

Jie Liang·Chengjie Tu·Trac D Tran
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Abstract

This paper presents a pre/postfiltering framework to reduce the reconstruction errors near block boundaries in wavelet-based image and video compression. Two algorithms are developed to obtain the optimal filter, based on boundary filter bank and polyphase structure, respectively. A low-complexity structure is employed to approximate the optimal solution. Performances of the proposed method in the removal of JPEG 2000 tiling artifact and the jittering artifact of three-dimensional wavelet video coding are reported. Comparisons with other methods demonstrate the advantages of our pre/postfiltering framework.

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AlgorithmsArtifactsArtificial IntelligenceComputer GraphicsData CompressionImage EnhancementImage Interpretation, Computer-AssistedNumerical Analysis, Computer-AssistedSignal Processing, Computer-AssistedVideo RecordingEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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Jie Liang, Chengjie Tu, Trac D Tran. 2005. Optimal block boundary pre/postfiltering for wavelet-based image and video compression.. https://doi.org/10.1109/tip.2005.857244

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