Abstract
In this paper, we propose an adaptive patch-based inpainting algorithm for image block error recovery in block-based coding image transmission. The recovery approach is based on prior information - patch similarity within the image. In order to keep local continuity, we recover the lost pixels by copying pixel values from the source based on a similarity criterion according to the prior information. The pixel recovery is performed in a sequential fashion, such that in this manner, the recovered pixels can be used in the recovery process afterwards. In order to alleviate the error propagation with sequential recovery, we introduce an adaptive combination strategy which merges different directional recovered pixels according to the confidence of the estimated recovery performance. Experimental results show that the proposed method provides significant gains in both subjective and objective measurements for image block recovery.
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Liu, Y., Wang, J., Zhang, H. (2011). Image Block Error Recovery Using Adaptive Patch_Based Inpainting. In: Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2010. Communications in Computer and Information Science, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25382-9_8
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DOI: https://doi.org/10.1007/978-3-642-25382-9_8
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