Adaptive filter for spatial resolution enhancement in the reconstruction of images degraded by signal-dependent noise

Olivier Delage; J. P. Garconnet; C. Thao Le; Henri H. Arsenault; Q. P. Dang

doi:10.1117/12.258238

14 November 1996 Adaptive filter for spatial resolution enhancement in the reconstruction of images degraded by signal-dependent noise

Olivier Delage, J. P. Garconnet, C. Thao Le, Henri H. Arsenault, Q. P. Dang

Author Affiliations +

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258238
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Penumbral images of neutron distributions form laser fusion experiments provided by large aperture imaging systems are degraded by signal-dependent noise. Most image processing algorithms assume that the signal and the noise are stationary. The purpose of this paper is to introduce a new approach using a locally adaptive non-stationary filter. This method modifies the stationary Wiener filter approach by trading off noise removal against resolution. We shall describe the method and show some results.

Citation Download Citation

Olivier Delage, J. P. Garconnet, C. Thao Le, Henri H. Arsenault, and Q. P. Dang "Adaptive filter for spatial resolution enhancement in the reconstruction of images degraded by signal-dependent noise", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258238

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