Image Noise-Informative Map For Noise Standard Deviation Estimation

Mikhail Uss; Benoit Vozel; Vladimir Lukin; I. Baryshev; Kacem Chehdi

Image Noise-Informative Map For Noise Standard Deviation Estimation

Mikhail Uss Benoit Vozel ¹ Vladimir Lukin I. Baryshev Kacem Chehdi ¹

1 IETR - Institut d'Electronique et de Télécommunications de Rennes

Abstract : The problem of automatic detection of image areas that can be reliably selected for accurate estimation of additive noise standard deviation (STD), irrespectively to processed image properties, is considered in this paper. For getting accurate estimate of either texture or noise parameters involved, we distinguish two complementary image informative maps: (1) noise-informative (NI) map and (2) its complementary texture-informative (TI) map. The NI map is determined and iteratively upgraded based on the Fisher information on noise STD calculated in a single scanning window (SW). The TI map is simply evolved as the complementary part of N map currently updated. Final noise STD estimation is performed by efficient analysis of finite size 9x9 block DCT coefficients in NI SWs. Experiments on large image database have proved that the proposed approach outperforms state-of-the-art estimators with respect to both noise STD estimates bias and variance.

Keywords : blind noise STD estimation Fisher's information textural images

Document type :

Conference papers

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00947019
Contributor : Yolande Sambin <>
Submitted on : Friday, February 14, 2014 - 3:15:41 PM
Last modification on : Friday, November 16, 2018 - 1:29:47 AM

Image Noise-Informative Map For Noise Standard Deviation Estimation

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Image Noise-Informative Map For Noise Standard Deviation Estimation

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