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Proceedings Paper

Noisy image enhancement on smooth function spaces
Author(s): Mong-Shu Lee
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Paper Abstract

We introduce a novel method for restoring noisy images that requires no noisy model. The proposed method is inspired by a wavelet-based switching smoothness description of Hoelder function spaces. Specifically, we lower the smoothness of the blurred image locally or globally to obtain an enhanced image. Despite the simplicity of our method, significant improvement is reported in the experiment results in terms of image fidelity measure and visual effect.

Paper Details

Date Published: 16 February 2006
PDF: 12 pages
Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 606409 (16 February 2006); doi: 10.1117/12.641102
Show Author Affiliations
Mong-Shu Lee, National Taiwan Ocean Univ. (Taiwan)


Published in SPIE Proceedings Vol. 6064:
Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning
Nasser M. Nasrabadi; Edward R. Dougherty; Jaakko T. Astola; Syed A. Rizvi; Karen O. Egiazarian, Editor(s)

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