caa a22 4500 47583416X CHVBK 20180406123849.0 cr unu---uuuuu 170329e20000701xx s 000 0 eng 10.1007/s005210070019 doi (NATIONALLICENCE)springer-10.1007/s005210070019 Error Concealment Using Adaptive Multilayer Perceptrons (MLPs) for Block-Based Image Coding [Elektronische Daten] [Yu-Len Huang, Ruey-Feng Chang] Image coding algorithms such as Vector Quantisation (VQ), JPEG and MPEG have been widely used for encoding image and video. These compression systems utilise block-based coding techniques to achieve a higher compression ratio. However, a cell loss or a random bit error during network transmission will permeate into the whole block, and then generate several damaged blocks. Therefore, an efficient Error Concealment (EC) scheme is essential for diminishing the impact of damaged blocks in a compressed image. In this paper, a novel adaptive EC algorithm is proposed to conceal the error for block-based image coding systems by using neural network techniques in the spatial domain. In the proposed algorithm, only the intra-frame information is used for reconstructing the image with 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 PSNR evaluation of a reconstructed image are significantly improved using the proposed EC algorithm.: Springer-Verlag London Limited, 2000 Keywords:Block-based image coding nationallicence Error concealment nationallicence Image restoration nationallicence Multilayer perceptron (MLP) nationallicence Neural network nationallicence Transmission error nationallicence Huang Yu-Len Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, ROC, TW aut Chang Ruey-Feng Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, ROC, TW aut https://doi.org/10.1007/s005210070019 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070019 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huang Yu-Len Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, ROC, TW aut NATIONALLICENCE 700 1- Chang Ruey-Feng Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan, ROC, TW aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer