TY - GEN
T1 - Exploiting spatial correlation in pixel-domain distributed image compression
AU - Varodayan, David
AU - Aaron, Anne
AU - Girod, Bernd
PY - 2006
Y1 - 2006
N2 - Contrary to convention, we construct distributed image compression codecs that operate in the pixel-domain, yet exploit spatial correlation at the decoder only. For lossless compression of binary images of text, we propose two novel decoders: one assumes the image to be a one-dimensional stationary Markov process, and the other assumes it to be a two-dimensional stationary Markov random field. We demonstrate that these decoders enable compression approaching their respective Slepian-Wolf limits and they perform better than the baseline pixel-domain decoder by factors of at least 2 and 4, respectively.
AB - Contrary to convention, we construct distributed image compression codecs that operate in the pixel-domain, yet exploit spatial correlation at the decoder only. For lossless compression of binary images of text, we propose two novel decoders: one assumes the image to be a one-dimensional stationary Markov process, and the other assumes it to be a two-dimensional stationary Markov random field. We demonstrate that these decoders enable compression approaching their respective Slepian-Wolf limits and they perform better than the baseline pixel-domain decoder by factors of at least 2 and 4, respectively.
KW - Baum-welch algorithm
KW - Distributed source coding
KW - Low-density parity-check codes
KW - Slepian-Wolf coding
UR - https://www.scopus.com/pages/publications/34047149856
UR - https://www.scopus.com/pages/publications/34047149856#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:34047149856
SN - 300018726X
SN - 9783000187261
T3 - 25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006
BT - 25th PCS Proceedings
T2 - 25th PCS: Picture Coding Symposium 2006, PCS2006
Y2 - 24 April 2006 through 26 April 2006
ER -