Image denoising based on the ridgelet frame using the generalized cross validation technique

Authors:
Xi Tan;Hong He
Affiliations:
Department of Electrical Engineering, Hunan University of Technology, Zhuzhou, China;Department of Electrical Engineering, Hunan University of Technology, Zhuzhou, China
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

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Abstract

A new image-denoising algorithm is proposed, which uses the Generalized Cross Validation technique in the ridgelet frame domain. The proposed algorithm has two advantages: first, it can select the optimal threshold automatically without the knowledge of the noise level; second, it has the ability to well recover the 'line-type' structures contained in noisy images. Experimentally, the high performance of the proposed algorithm is demonstrated.