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A Bayesian Framework for Single Image Dehazing considering Noise
Joint Authors
Nan, Dong
Bi, Du-yan
Liu, Chang
Ma, Shi-ping
He, Lin-yuan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The single image dehazing algorithms in existence can only satisfy the demand for dehazing efficiency, not for denoising.
In order to solve the problem, a Bayesian framework for single image dehazing considering noise is proposed.
Firstly, the Bayesian framework is transformed to meet the dehazing algorithm.
Then, the probability density function of the improved atmospheric scattering model is estimated by using the statistical prior and objective assumption of degraded image.
Finally, the reflectance image is achieved by an iterative approach with feedback to reach the balance between dehazing and denoising.
Experimental results demonstrate that the proposed method can remove haze and noise simultaneously and effectively.
American Psychological Association (APA)
Nan, Dong& Bi, Du-yan& Liu, Chang& Ma, Shi-ping& He, Lin-yuan. 2014. A Bayesian Framework for Single Image Dehazing considering Noise. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050513
Modern Language Association (MLA)
Nan, Dong…[et al.]. A Bayesian Framework for Single Image Dehazing considering Noise. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050513
American Medical Association (AMA)
Nan, Dong& Bi, Du-yan& Liu, Chang& Ma, Shi-ping& He, Lin-yuan. A Bayesian Framework for Single Image Dehazing considering Noise. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050513
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050513