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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Tan, X., & He, H. (2007). Image denoising based on the ridgelet frame using the generalized cross validation technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4633 LNCS, pp. 38–45). Springer Verlag. https://doi.org/10.1007/978-3-540-74260-9_4
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