Error Concealment using Neural Networks for Block-Based Image Coding
Alternative metrics PlumXhttp://hdl.handle.net/11012/57952
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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.
KeywordsBlock-based image coding, error concealment, image restoration multilayer perceptron, radial basis function network, mobile radio channels
Document typePeer reviewed
SourceRadioengineering. 2006, vol. 15, č. 2, s. 30-36. ISSN 1210-2512
- 2006/2