Iterative denoising and simultaneously reconstructing algorithm: a new approach for images degraded by multiplicative signal-dependent noise

B. Savale; Olivier Delage; Henri H. Arsenault

doi:10.1117/12.323241

1 October 1998 Iterative denoising and simultaneously reconstructing algorithm: a new approach for images degraded by multiplicative signal-dependent noise

B. Savale, Olivier Delage, Henri H. Arsenault

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Proceedings Volume 3460, Applications of Digital Image Processing XXI; (1998) https://doi.org/10.1117/12.323241
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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, and 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); https://doi.org/10.1117/12.323241

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