Deconvolution of an image perturbed by several defocus blurs

Francois Goudail; Olivier Ruch; Philippe Refregier

doi:10.1117/12.365858

18 October 1999 Deconvolution of an image perturbed by several defocus blurs

Francois Goudail, Olivier Ruch, Philippe Refregier

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365858
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

It is well known that using different versions of a scene perturbed with different blurs improves the quality of the restored image compared to using a single blurred image. In this paper, we consider images perturbed with large defocus blurs. In the case where two different blurs are used, we characterize the influence of the relative diameter of both blurs on the restoration quality. We show that using two different blurs significantly increases the robustness of the restoration to a mismatch between the kernels used in designing the restoration algorithm and the actual blurs that have perturbed the image. We finally show that using three different kernels may not improve the restoration performance compared to the two-kernel approach, but still improves the robustness to kernel estimation.

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Francois Goudail, Olivier Ruch, and Philippe Refregier "Deconvolution of an image perturbed by several defocus blurs", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365858

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KEYWORDS

Image quality

Image restoration

Signal to noise ratio

Deconvolution

Image filtering

Convolution

Error analysis

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