The relationship between information prioritization and visual distinctness in two progressive image transmission schemes
article
The goal of this paper is to analyze the relation between the visual distinctness and the priority assigned to the information in two di2erent progressive transmission schemes: the Set Partitioning in Hierarchical Trees (SPIHT) and the Rational Embedded Wavelet Image Coding (REWIC). SPIHT assigns priority based on the mean squared-error (MSE) distortion measure. REWIC quantifies the visual distinctness through the expected increase in utility per coding bit, using a simple function of the Kullback-Leiblers information gain, called distREWIC. We will show that in progressive transmission, the information selected through the increase in utility per coding bit corresponds to information with the largest visual relevance to a higher degree than the information selected on the basis of the MSE metric.
Keywords: Progressive transmission; Distortion measure; Visual distinctness; Complex natural scenes; Psychophysical experiments
Keywords: Progressive transmission; Distortion measure; Visual distinctness; Complex natural scenes; Psychophysical experiments
Topics
TNO Identifier
15963
Source
Pattern Recognition, 37(2), pp. 281-297.
Pages
281-297
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