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.
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Tan, X., He, H. (2007). Image Denoising Based on the Ridgelet Frame Using the Generalized Cross Validation Technique. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_4
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DOI: https://doi.org/10.1007/978-3-540-74260-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
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