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Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior
Joint Authors
Feng, Yayuan
Sun, Dianjun
Shi, Yu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The denoising and deblurring of Poisson images are opposite inverse problems.
Single image deblurring methods are sensitive to image noise.
A single noise filter can effectively remove noise in advance, but it also damages blurred information.
To simultaneously solve the denoising and deblurring of Poissonian images better, we learn the implicit deep image prior from a single degraded image and use the denoiser as a regularization term to constrain the latent clear image.
Combined with the explicit L0 regularization prior of the image, the denoising and deblurring model of the Poisson image is established.
Then, the split Bregman iteration strategy is used to optimize the point spread function estimation and latent clear image estimation.
The experimental results demonstrate that the proposed method achieves good restoration results on a series of simulated and real blurred images with Poisson noise.
American Psychological Association (APA)
Feng, Yayuan& Shi, Yu& Sun, Dianjun. 2020. Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1202284
Modern Language Association (MLA)
Feng, Yayuan…[et al.]. Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1202284
American Medical Association (AMA)
Feng, Yayuan& Shi, Yu& Sun, Dianjun. Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1202284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202284