Joint deconvolution and imaging
نویسندگان
چکیده
We investigate a Wiener fusion method to optimally combine multiple estimates for the problem of image deblurring given a known blur and a corpus of sharper training images. Nearest-neighbor estimation of high frequency information from training images is fused with a standard Wiener deconvolution estimate. Results show an improvement in sharpness and decreased artifacts compared to either the standard Wiener filter or the nearest-neighbor reconstruction.
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