A Bayesian framework for single image dehazing considering noise.
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 a...
| Publicado en: | Scientific World Journal pp. 651986 - 651987 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103845739&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103845739 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103845739 NLM25215327 2012727983 10.1155/2014/651986 NLM25215327 PMC4152986 103845739 ppf: 651986 ppct: 1 formats: tig: atl: A Bayesian framework for single image dehazing considering noise. aug: au: Nan, Dong Bi, Du-Yan Liu, Chang Ma, Shi-Ping He, Lin-Yuan affil: Institute of Aeronautics and Astronautics Engineering, Air Force Engineering University, No. 1 Baling Road, Baqiao District, Xi'an 710038, China. sug: subj: Algorithms Probability Image Processing, Computer Assisted ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|