Vector quantization of subband images using entropy-weighted mean square error
Jun Liu, Timothy N. Davidson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
A new distortion measure, entropy-weighted mean square error, is introduced to enhance the perceptual quality of reconstructed images form 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 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.