8 May 2001 Image deconvolution and noise control
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Abstract
This paper considers the problem of image deconvolution, or more precisely, sharpening blurred and noisy images. Using common sharpening methods, which include for example convolution with Laplacian, produces amplified noise. To reduce noise, a median filter is used, resulting in a sequence of sharpening-median cascade filtering, to be applied to an image sequentially. Now, using different sharpening-median filtering sequences produces different kinds of sharpening results. Examples of these differences are given by simulations in one-dimensional cases with noisy edges. Examples of sharpening real photographs are given and comparison with existing techniques is reported.
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Olli P. Yli-Harja, Olli P. Yli-Harja, Pasi Rustanius, Pasi Rustanius, Samuli Reponen, Samuli Reponen, } "Image deconvolution and noise control", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424982; https://doi.org/10.1117/12.424982
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