Maximum likelihood blind image restoration via alternating minimization
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A new algorithm for Maximum likelihood blind image restoration is presented in this paper. It is obtained by modeling the original image and the additive noise as multivariate Gaussian processes with unknown covariance matrices. The blurring process is specified by its point spread function, which is also unknown. Estimations of the original image and the blur are derived by alternating minimization of the Kullback-Leibler divergence. The algorithm presents the advantage to provide closed form...[Show more]
dc.contributor.author | Seghouane, Abd-Krim | |
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dc.coverage.spatial | Hong Kong China | |
dc.date.accessioned | 2015-12-10T23:04:38Z | |
dc.date.created | September 26-29 2010 | |
dc.identifier.uri | http://hdl.handle.net/1885/62452 | |
dc.description.abstract | A new algorithm for Maximum likelihood blind image restoration is presented in this paper. It is obtained by modeling the original image and the additive noise as multivariate Gaussian processes with unknown covariance matrices. The blurring process is specified by its point spread function, which is also unknown. Estimations of the original image and the blur are derived by alternating minimization of the Kullback-Leibler divergence. The algorithm presents the advantage to provide closed form expressions for the parameters to be updated and to converge only after few iterations. A simulation example that illustrates the effectiveness of the proposed algorithm is presented. | |
dc.publisher | IEEE Signal Processing Society | |
dc.relation.ispartofseries | IEEE International Conference on Image Processing 2010 | |
dc.source | Proceedings of IEEE International Conference on Image Processing 2010 | |
dc.subject | Keywords: Alternating minimization; Blind image restoration; Closed-form expression; Covariance matrices; Kullback Leibler divergence; Kullback-Leibler information; Multivariate Gaussian Process; Original images; Point-Spread function; Simulation example; Algorithm Blind image restoration; Kullback-leibler information | |
dc.title | Maximum likelihood blind image restoration via alternating minimization | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2010 | |
local.identifier.absfor | 080106 - Image Processing | |
local.identifier.ariespublication | u4334215xPUB700 | |
local.type.status | Published Version | |
local.contributor.affiliation | Seghouane, Abd-Krim, College of Engineering and Computer Science, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 3581 | |
local.bibliographicCitation.lastpage | 3584 | |
local.identifier.doi | 10.1109/ICIP.2010.5650975 | |
local.identifier.absseo | 970109 - Expanding Knowledge in Engineering | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2016-02-24T11:02:45Z | |
local.identifier.scopusID | 2-s2.0-78651061156 | |
Collections | ANU Research Publications |
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