A spatial-domain error concealment method with edge recovery and selective directional interpolation
ABSTRACT A low complexity spatial-domain error concealment method is proposed to reconstruct still images and intra-coded (I) frames in video when they are transmitted through unreliable channels in this work. The proposed concealment algorithm works with the following steps. First, missing edges in a lost macroblock (MB) are detected and recovered using gradient data. Then, the lost MB is implicitly divided into several segments along the recovered edges. Finally, each pixel in a segment is directionally interpolated from boundary pixels adjacent to the segment. Experimental results show that the proposed algorithm can recover high as well as low frequency information in lost MBs and provide better visual quality in comparison with the conventional spatial domain interpolation.
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ABSTRACT: This paper proposes a low-complexity spatial-domain Error Concealment (EC) algorithm for recovering consecutive blocks error in still images or Intra-coded (I) frames of video sequences. The proposed algorithm works with the following steps. Firstly the Sobel operator is performed on the top and bottom adjacent pixels to detect the most likely edge direction of current block area. After that one-Dimensional (1D) matching is used on the available block boundaries. Displacement between edge direction candidate and most likely edge direction is taken into consideration as an important factor to improve stability of 1D boundary matching. Then the corrupted pixels are recovered by linear weighting interpolation along the estimated edge direction. Finally the interpolated values are merged to get last recovered picture. Simulation results demonstrate that the proposed algorithms obtain good subjective quality and higher Peak Signal-to-Noise Ratio (PSNR) than the methods in literatures for most images.Journal of Electronics (China) 03/2007; 24(2):214-217.
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ABSTRACT: A block loss recovery technique based on multiple edge detection is presented in this paper. A new spatial interpolation algorithm based on multiple edge detection is proposed. This approach improves the capability into reliability to recover multiple edge intersection contents in the corrupted block. Experimental results demonstrate that the proposed method has better performance than traditional linear interpolation method and the conventional interpolation method which is based on edge detection.01/2010;
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ABSTRACT: When multi-path fading and interference frequently disrupts amobile radio communicationsystem, it can seriously un- dermine its reliability for transmission of compressed video sig- nals. In this paper, we present apixel interlacing based video trans- mission system for low-complexity Intra-frame error concealment over error-prone mobile networks,especially under severe channel conditions.Theproposedmethod,despiteitslow-complexitywhich is based on a simple pixel interlacing technique at the encoder, can significantly enhance the quality of the corrupted video signal. Ex- perimentalresults showthattheproposed methodcansignificantly improveimagequality(withtheaveragePSNRgainupto15.80dB) in comparison with the existing methods. IndexTerms—Errorconcealment,H.264/AVC,sub-bandcoding.IEEE Transactions on Broadcasting 01/2011; 57(2):253-257. · 2.65 Impact Factor