Recovery of image blocks using the method of alternating projections
IEEE Transactions on Image Processing
Information loss recovery for block-based image coding techniques-a fuzzy logic approach
IEEE Transactions on Image Processing
Concealment of damaged block transform coded images using projections onto convex sets
IEEE Transactions on Image Processing
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a new error concealment algorithm based on edge-oriented spatial interpolation as well as the JND (Just-Noticeable-Distortion) function to select valid edge information in adjacent blocks. Several conventional algorithms suffer from computational complexity or inaccurate recovery at missing blocks having strong edgeness. In order to alleviate these drawbacks, the proposed algorithm estimates a dominant direction to interpolate the missing pixel values. At this step, automatic thresholding method based on the JND function is proposed to determine a valid direction. Then, a lost block is recovered by weighted linear interpolation along the dominant vector. Finally, the median filter is applied to recover pixels that are not located on the line with the estimated dominant direction. Simulation results show that the proposed algorithm improves the PSNR of the recovered image approximately 2.5dB better than Hsia's and can significantly reduce computational complexity with keeping subjective quality as good as the RIBMAP method.