A New Look to Multichannel Blind Image Deconvolution

The aim of this paper is to propose a new look to MBID, examine some known approaches, and provide a new MC method for restoring blurred and noisy images. First, the direct image restoration problem is briefly revisited. Then a new method based on inverse filtering for perfect image restoration in t...

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Bibliographic Details
Published in:IEEE transactions on image processing 2009-07, Vol.18 (7), p.1487-1500
Main Authors: Souidene, W., Abed-Meraim, K., Beghdadi, A.
Format: Article
Language:English
Subjects:
Algorithms
Amplification
Applied sciences
Blinds
Computer Simulation
Deconvolution
Degradation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering
Filters
Filtration
Image processing
Image Processing, Computer-Assisted - methods
Image restoration
Information, signal and communications theory
Layout
Models, Theoretical
Monte Carlo Method
Noise robustness
Random processes
Signal and communications theory
Signal processing
Signal restoration
Signal, noise
Stochastic processes
Telecommunications and information theory
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Summary:The aim of this paper is to propose a new look to MBID, examine some known approaches, and provide a new MC method for restoring blurred and noisy images. First, the direct image restoration problem is briefly revisited. Then a new method based on inverse filtering for perfect image restoration in the noiseless case is proposed. The noisy case is addressed by introducing a regularization term into the objective function in order to avoid noise amplification. Second, the filter identification problem is considered in the MC context. A new robust solution to the degradation matrix filter is then derived and used in conjunction with a total variation approach to restore the original image. Simulation results and performance evaluations using recent image quality metrics are provided to assess the effectiveness of the proposed methods.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2009.2018566