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[Klicken Sie auf den Stern, um dieses Thema zu verfo lgen] Online multiframe blind deconvolution with superres olution and saturation correction M. Hirsch, S. Harmeling, S . Sra, and B. Schölkopf
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Last Post:
Nov 9, 2011 10:31 AM




[Klicken Sie auf den Stern, um dieses Thema zu verfo lgen] Online multiframe blind deconvolution with superres olution and saturation correction M. Hirsch, S. Harmeling, S . Sra, and B. Schölkopf
Posted:
Nov 9, 2011 8:57 AM


Hello, I am currently working on the implementation of the above paper. Unfortunately there is one piece of important information missing for me. I don't now the mentioned derivatives in the paper, because I am not very informed about convolution algebra. Especially, I need "nabla L", or "nabla l" for the stochastic gradient decent. And I need dError/ df to compute the argmin expression for the convolution kernel f. I plan to use gradient decent also in this part of the algortithm. In the future, I plan to introduce some linear Maps (Matrices) as Extension to the Algorithm. There is one linear map for performing downsampling (A) and a geometric warp Matrix (C). Then the Error expression becomes  y  A(f * Cx) ^2 Should it be possible to compute the derivatives even in this case? These are d/df, d/dx. I think constant linear map should be no problem, but I can't compute it myself.



