Abstract
This paper continues an earlier assessment of visual communication [ Visual Communication and Image Representation 4, 1993, 62] in terms of the information acquired by the image-gathering device, the data rate required to convey this information, and the visual quality of the image either reconstructed or optimally restored from the transmitted data. The pivotal result of this assessment is that informationally optimized image gathering ordinarily can be relied upon to maximize both the visual quality of optimally restored images and the information efficiency of decorrelated data. About 80 to 90% decorrelation is obtained by combining either differential pulse code modulation or (critically sampled) multiresolution decomposition with Huffman encoding, and over an order of magnitude dynamic-range compression without appreciable loss of information is obtained by combining informationally optimized image gathering for high signal-to-noise ratio with lateral inhibition and nonlinear radiance-to-signal conversion, akin to the retinal processing in human vision. Results show that informationally optimized image gathering and restoration produces significantly sharper and clearer images than conventional image gathering and reconstruction permits, and that some improvement in visual quality often can be gained even with a lower data rate.
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