Authors: Warren D. Smith
I formulate the "least cost deconvolution" problem for images, and within my formulation show that with any particular cost-function choices, it (1) has a unique solution, and (2) that solution may be found (for N-pixel images, each pixel value in [0,2V), to D-decimal accuracy) by a polynomial(N,V,D)-time algorithm. "Deconvolution" algorithms have been around since the work of W.H.Richardson, L.B.Lucy, and Jan Högbom in the early 1970s, but it annoyed me that uniqueness and computational-efficiency theorems had not been stated in that literature (at least that I noticed); and indeed some of the prior algorithms had indications to the contrary, e.g. Liu et al 2025, and/or schemes producing local but prpbably non-global cost-minima.
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[v1] 2025-07-14 19:43:03
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