Abstract
Suffering from the inadequacy of reliable received data and their lack of sufficient a priori knowledge about the lost regions, the existing error concealment (EC) techniques fail to perform well in high packet loss transmission of compressed images. In order to obviate such a deficiency, we propose the sequential best range matching (SBRM) algorithm: the correctly received regions of image are employed to fabricate the lost regions according to the spatial similarities within the image. Our simulation results show that SBRM not only outperforms the existing EC methods especially in high packet loss conditions, but also provides suitable prior knowledge to initialize further estimation and denoising processes.
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