Moving Picture Coding by Lapped Transform and Edge Adaptive Deblocking Filter with Zero Pruning SPIHT
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概要
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We propose a moving picture coding by lapped transform and an edge adaptive deblocking filter to reduce the blocking distortion. We apply subband coding (SBC) with lapped transform (LT) and zero pruning set partitioning in hierarchical trees (zpSPIHT) to encode the difference picture. Effective coding using zpSPIHT was achieved by quantizing and pruning the quantized zeros. The blocking distortion caused by block motion compensated prediction is reduced by an edge adaptive deblocking filter. Since the original edges can be detected precisely at the reference picture, an edge adaptive deblocking filter on the predicted picture is very effective. Experimental results show that blocking distortion has been visually reduced at very low bit rate coding and better PSNRs of about 1.0dB was achieved.
- (社)電子情報通信学会の論文
- 2010-06-01
著者
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TANAKA TOSHIHISA
Department of Clinical Neuroscience & Psychiatry, Osaka University Graduate School of Medicine
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Tanaka Toshihisa
Department Of Electrical And Electronic Engineering Tokyo University Of Agriculture And Technology
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Zainal Nasharuddin
Department Of International Development Engineering Graduate School Of Science And Engineering Tokyo
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YAMASHITA Yukihiko
Department of International Development Engineering, Faculty of Engineering, Tokyo Institute of Tech
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Yamashita Yukihiko
Department Of International Development Engineering Graduate School Of Science And Engineering Tokyo
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