On the use of genetic algorithms to improve wavelet sign coding performance

Authors:
Ricardo García;Otoniel López;Antonio Martí;Manuel P. Malumbres
Affiliations:
Miguel Hernández University, Elche, Spain;Miguel Hernández University, Elche, Spain;Universidad Politécnica de Valencia, Valencia, Spain;Miguel Hernández University, Elche, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

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Abstract

Compression of wavelet coefficient sign has been assumed to be inefficient for a long time. However, in the last years several proposals have been developed and, in fact several image encoders like JPEG 2000 include sign coding capabilities. In this paper, we present a new sign coding approximation using a genetic algorithm in order to efficiently predict the sign of wavelet coefficients. We have included that prediction in a fast non-embedded image encoder. Preliminary results show that, by including sign coding capabilities to a non-embedded encoder, the compression gain is up to 17.35%, being the Rate-Distortion (R/D) performance improvement up to 0.25 dB.