Combining modulation diversity and index assignment to improve image VQ for a rayleigh fading channel

Waslon Terllizzie Araújo Lopes, Francisco Madeiro, Benedito Guimarães Aguiar Neto, Marcelo Sampaio de Alencar
2004 Learning and Nonlinear Models  
Vector quantization (VQ) has been widely used in many image coding systems. However, it is highly sensitive to channel errors, which may lead to very annoying blocking artifacts in the reconstructed images. In the present paper, modulation diversity (MD) is combined with index assignment (IA) by simulated annealing for improving the transmission of vector quantized images over a Rayleigh fading channel: MD is used to reduce the bit error rate while IA is used as an attempt to reduce the visual impact of channel errors.
doi:10.21528/lnlm-vol2-no1-art3 fatcat:sukmyki3rjhavouug6tclfcdmi