1 October 1998 Iterative denoising and simultaneously reconstructing algorithm: a new approach for images degraded by multiplicative signal-dependent noise
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Abstract
Images of neutron distributions provided by penumbral imaging are degraded by highly signal-dependent noise, so it is difficult to separate object information from noise and to solve the inverse problem. The Richardson-Lucy restoration algorithm is a well-known method to deconvolve images given the point-spread function of the aperture, but it is very sensitive to noise fluctuations. We present a way to denoise images by a multiresolution method, and then apply a modified version of the Richardson-Lucy algorithm twice to deconvolve and to denoise simultaneously neutron images.
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B. Savale, Olivier Delage, Henri H. Arsenault, "Iterative denoising and simultaneously reconstructing algorithm: a new approach for images degraded by multiplicative signal-dependent noise", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323241; https://doi.org/10.1117/12.323241
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