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A novel approach for enhancing very dark image sequences

We propose the methods, involving a denoiser and a tone mapper, that especially enhance very dark image sequences having an extremely small signal-to-noise ratio (SNR). The proposed denoiser and tone mapper, respectively, boosts the very small SNR and enlarges the extremely low dynamic range: they jointly form a conceptual framework to do the enhancement. We explicitly show that the conceptual framework adheres to a theoretical biological model of visual systems in nocturnal animals. The developed denoiser utilizes adaptive spatial-temporal filtering and effectively succeeds in reducing high noise and motion blur artifacts while preserving image details. The devised tone mapping method carries out different transformations for low and high intensity pixels by employing a single function which meanwhile takes into account the local contrast of each pixel, supporting a spatially and temporally consistent tone adjustment per frame. The conceptual framework and a customized post-process lead to a novel technique that is demonstrated to accomplish a satisfactory enhancement of very dark videos, and produce high quality restored image sequences - outperforming the recent state-of-the-art results. Finally, the proposed adaptive spatial-temporal filter and the post-processing procedure can be combined and adapted for normal-light image sequences to deal well with remarkably heavy noise

This work has been funded by Natural Science Foundation of China (61179067, 60879003, 61103005), Spanish (TIN2010-21089-C03-01) and Catalan Governments (2009-SGR-643 and 2010-CONE2-00053)

© Signal Processing, 2014, vol. 103, p. 309-330

Elsevier

Author: Xu, Qing
Jiang, Hailin
Scopigno, Riccardo
Sbert, Mateu
Date: 2014
Abstract: We propose the methods, involving a denoiser and a tone mapper, that especially enhance very dark image sequences having an extremely small signal-to-noise ratio (SNR). The proposed denoiser and tone mapper, respectively, boosts the very small SNR and enlarges the extremely low dynamic range: they jointly form a conceptual framework to do the enhancement. We explicitly show that the conceptual framework adheres to a theoretical biological model of visual systems in nocturnal animals. The developed denoiser utilizes adaptive spatial-temporal filtering and effectively succeeds in reducing high noise and motion blur artifacts while preserving image details. The devised tone mapping method carries out different transformations for low and high intensity pixels by employing a single function which meanwhile takes into account the local contrast of each pixel, supporting a spatially and temporally consistent tone adjustment per frame. The conceptual framework and a customized post-process lead to a novel technique that is demonstrated to accomplish a satisfactory enhancement of very dark videos, and produce high quality restored image sequences - outperforming the recent state-of-the-art results. Finally, the proposed adaptive spatial-temporal filter and the post-processing procedure can be combined and adapted for normal-light image sequences to deal well with remarkably heavy noise
This work has been funded by Natural Science Foundation of China (61179067, 60879003, 61103005), Spanish (TIN2010-21089-C03-01) and Catalan Governments (2009-SGR-643 and 2010-CONE2-00053)
Format: application/pdf
ISSN: 0165-1684
Document access: http://hdl.handle.net/10256/11657
Language: eng
Publisher: Elsevier
Collection: MICINN/PN 2011-2013/TIN2010-21089-C03-01
AGAUR/2009-2014/2009 SGR-643
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.sigpro.2014.02.013
Articles publicats (D-IMA)
Is part of: © Signal Processing, 2014, vol. 103, p. 309-330
Rights: Tots els drets reservats
Subject: Algorismes
Algorithms
Imatges -- Processament -- Tècniques digitals
Image processing -- Digital techniques
Title: A novel approach for enhancing very dark image sequences
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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