Abstract
In this paper, we provide a new non-local method for image denoising. The key idea we develop is to denoise the components of the image in a well-chosen moving frame instead of the image itself. We prove the relevance of our approach by showing that the PSNR of a grayscale noisy image is lower than the PSNR of its components. Experiments show that applying the Non Local Means algorithm of Buades et al. [5] on the components provides better results than applying it directly on the image. © 2014 Springer International Publishing.
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CITATION STYLE
Ghimpe, G., Batard, T., Bertalmío, M., & Levine, S. (2014). Denoising an image by denoising its components in a moving frame. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8509 LNCS, pp. 375–383). Springer Verlag. https://doi.org/10.1007/978-3-319-07998-1_43
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