Efficient recursive multichannel blind image restoration

Authors:
Li Chen;Kim-Hui Yap;Yu He
Affiliations:
Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore;Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2007

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Abstract

This paper presents a novel multichannel recursive filtering (MRF) technique to address blind image restoration. The primary motivation for developing the MRF algorithm to solve multichannel restoration is due to its fast convergence in joint blur identification and image restoration. The estimated image is recursively updated from its previous estimates using a regularization framework. The multichannel blurs are identified iteratively using conjugate gradient optimization. The proposed algorithm incorporates a forgetting factor to discard the old unreliable estimates, hence achieving better convergence performance. A key feature of the method is its computational simplicity and efficiency. This allows the method to be adopted readily in real-life applications. Experimental results show that it is effective in performing blind multichannel blind restoration.