CONCEALMENT OF DAMAGED BLOCK TRANSFORM CODED IMAGES USING PROJECTIONS ONTO CONVEX-SETS

被引:241
作者
SUN, HF
KWOK, W
机构
[1] David Samoff Research Center, Princeton
关键词
D O I
10.1109/83.370675
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An algorithm for lost signal restoration in block-based still image and video sequence coding is presented, Problems arising from imperfect transmission of block-coded images result in lost blocks, The resulting image is flawed by the absence of square pixel regions that are notably perceived by human vision, even in real-time video sequences, Error concealment is aimed at masking the effect of missing blocks by use of temporal or spatial interpolation to create a subjectively acceptable approximation to the true error-free image, This paper presents a spatial interpolation algorithm that addresses concealment of lost image blocks using only intra-frame information, It attempts to utilize spatially correlated edge information from a large local neighborhood of surrounding pixels to restore missing blocks, The algorithm is a Gerchberg-type spatial domain/spectral domain constraint-satisfying iterative process, and may be viewed as an alternating projections onto convex sets method.
引用
收藏
页码:470 / 477
页数:8
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