Error Concealment using Neural Networks for Block-Based Image Coding

Radioengineering

关键词: Block-based image coding;    error concealment;    image restoration multilayer perceptron;    radial basis function network;    mobile radio channels;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this paper, a novel adaptive error concealment (EC) algorithm, which lowers the requirements for channel coding, is proposed. It conceals errors in block-based image coding systems by using neural network. In this proposed algorithm, only the intra-frame information is used for reconstruction of the image with separated damaged blocks. The information of pixels surrounding a damaged block is used to recover the errors using the neural network models. Computer simulation results show that the visual quality and the MSE evaluation of a reconstructed image are significantly improved using the proposed EC algorithm. We propose also a simple non-neural approach for comparison.

【 授权许可】

Unknown