Efficient algorithm for calculating transposed PSF matrices for 3D light field deconvolution
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Volume reconstruction by 3D light field deconvolution is a technique that has been successfully demonstrated for microscopic images recorded by a plenoptic camera. This method requires to compute a transposed version of the 5D matrix that holds the point spread function (PSF) of the optical system. For high resolution cameras with hexagonal microlens arrays this is a very time consuming step. This paper illustrates the significance and the construction of this special matrix and presents an efficient algorithm for its computation, which is based on the distinct relation of the corresponding indices within the original and the transposed matrix. The required computation time is, compared to previously published algorithms, significantly shorter.
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