Computational Models for Predictiong Visual Target Distinctness
Computational Models for Predictiong Visual Target Distinctness
Image compression using the 2-D wavelet transform
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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For progressive transmission, the limited bit-reserves of low transmission cost seem to provide a limit to the growing low-cost bit-allocation and to the sustainable amount of significant coefficients for which we allocate our exhaustible low-cost bit-reserves. Following a bit-saving path in the progressive image transmission, bit streams are prioritized in response to the use of a prioritization protocol, but only a part of the prioritized low-cost bit streams is to be transmitted to the decoder at this time. The level of transmission technology may also be augmented by investing part of the gross income in transmission improvement. The rest of prioritized bit streams, which were not sent to the decoder at their prioritization time, is to be added to a knowledge base from bit-saving. It is a bit-saving just reducing the amount of transmitted bits at the present time, but additions to the knowledge base may be transmitted later following an improved transmission technology at higher bit rates. Our aim is to find the paths of transmission, bit-reserves use, and sustained improvement in transmission technology which maximizes utility of future transmission. It uncovers the exact role and relevance of knowledge from bit-saving in the optimal transmission path.