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8 May 2001 Image deconvolution and noise control
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Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001)
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olli P. Yli-Harja, Pasi Rustanius, and Samuli Reponen "Image deconvolution and noise control", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001);

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