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May 5, 2014 · Abstract: In this paper, we address the problem of estimating a latent sharp image from a single spatially variant blurred image.
Abstract—In this paper, we address the problem of estimating a latent sharp image from a single spatially variant blurred image. Non-uniform deblurring ...
This work employs the total variation (TV) regularization to recover a latent image, in which the edges are better enhanced and the ringing artifacts are ...
Abstract—In this paper, we address the problem of estimating a latent sharp image from a single spatially variant blurred image. Non-uniform deblurring ...
Xin Yu , Feng Xu, Shunli Zhang, Li Zhang: Efficient Patch-Wise Non-Uniform Deblurring for a Single Image. IEEE Trans. Multim. 16(6): 1510-1524 (2014).
Non-uniform deblurring methods based on projective motion path models formulate the blur as a linear combination of homographic projections of a clear image.
One direct strategy is to approximate the non- uniform blur as multiple blur kernels, where the blurry image is divided into several regions, and each region.
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