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Image denoising using a tight frame.

作者信息

Shen Lixin, Papadakis Manos, Kakadiaris Ioannis A, Konstantinidis Ioannis, Kouri Donald, Hoffman David

机构信息

Department of Mathematics, Western Michigan University, Kalamazoo, MI 49008, USA.

出版信息

IEEE Trans Image Process. 2006 May;15(5):1254-63. doi: 10.1109/tip.2005.864240.

Abstract

We present a general mathematical theory for lifting frames that allows us to modify existing filters to construct new ones that form Parseval frames. We apply our theory to design nonseparable Parseval frames from separable (tensor) products of a piecewise linear spline tight frame. These new frame systems incorporate the weighted average operator, the Sobel operator, and the Laplacian operator in directions that are integer multiples of 45 degrees. A new image denoising algorithm is then proposed, tailored to the specific properties of these new frame filters. We demonstrate the performance of our algorithm on a diverse set of images with very encouraging results.

摘要

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