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Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation

delete2010-02-01
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PRE
AI
D
Dũng Trung Võ *
J
Joel Solé
P
Peng Yin
C
Cristina Gomila
T
Truong Q. Nguyen
DOI:10.1109/TIP.2009.2035845delete
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摘要

摘要

En 中文
This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are pruned to a smaller size before compression. After decoding, they are interpolated back to their original size by an edge-directed interpolation method. The data pruning phase is optimized to obtain the minimal distortion in the interpolation phase. Furthermore, a novel high-order interpolation is proposed to adapt the interpolation to several edge directions in the current frame. This high-order filtering uses more surrounding pixels in the frame than the fourth-order edge-directed method and it is more robust. The algorithm is also considered for multiframe-based interpolation by using spatio-temporally surrounding pixels coming from the previous frame. Simulation results are shown for both image interpolation and coding applications to validate the effectiveness of the proposed methods.
Keyword:
Data pruning
edge-directed interpolation
spatial-temporal interpolation
video compression
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期刊

IEEE Transactions on Image Processing 封面图
IEEE Transactions on Image Processing
IF:
13.7
论文数:
1.0W
被引数:
8.4W

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samsung
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University of California System
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University of California San Diego
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