Noisy image enhancement on smooth function spaces

Author: Lee, Mong-Shu

Source: International Journal of Computer Mathematics, Volume 85, Number 9, September 2008 , pp. 1463-1472(10)

Publisher: Taylor and Francis Ltd

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 Holder 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.

Keywords: image enhancement; wavelets; Holder function spaces

Document Type: Research article

DOI: http://dx.doi.org/10.1080/00207160701576830

Affiliations: 1: Department of Computer Science, National Taiwan Ocean University, Keelung, Taiwan, Republic of China

Publication date: 2008-09-01

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