Joint thresholding and quantizer selection for block-transform-based image coding with applications to baseline JPEG
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Cites background from "Joint thresholding and quantizer se..."
...In this case, optimum tables as well as optimum Hufman tables can be designed based on the characteristics of the images in that particular application....
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...It exploits advantages of the available coders and compensates for their weaknesses to produce a new compression scheme that has higher compression rates with minimally noticeable distortions....
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"Joint thresholding and quantizer se..." refers background or methods in this paper
...This is equivalent to solving (1) with a fixed Huffman table and the added constraint that Q = k * Q,, where Q is the "example" JPEG matrix....
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...The scheme oP may be interpreted as minimizing (1) as a function of Qj, with H constant and 7j = 1, Vi, j, b....
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...The key to the algorithm is using Lagrange multipliers to convert the constrained problem in (1) to the following unconstrained minimization = D(T , Q) + A * R(1 , , H)] (2)...
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...With appropriate choice of A, achieved by iteration, solutions to (2) provide solutions to (1)....
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...Also, to obtain solutions to the rate-constrained problem(1), a root-solver requiring minimizations at different )'s may be used to find ) such that the rate constraint is best satisfied....
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