Jun Liu and Timothy N. Davidson
Vector quantization of subband images using entropy-weighted
mean square error.
In A. G. Tescher, editor, Applications of Digital Image
Processing XIX,
Volume 2847, Proceedings of the SPIE, pages 400-407,
November 1996.
A new distortion measure, entropy-weighted mean square error (EWMSE), is introduced to enhance the perceptual quality of reconstructed images from subband vector quantization schemes. The measure is based on the observation that the subbands containing more information ought to be more accurately represented than those which contain less. A compatible feature extractor for a non-linear interpolative vector quantization (NLIVQ) scheme is proposed in order to extend the method to higher dimensional vector spaces without incurring an excessive computational burden. The experimental results confirm the predictions of improved perceptual quality.
Back to my publications-by-topic page.