Noisy image enhancement on smooth function spaces

Mong-Shu Lee

doi:10.1117/12.641102

16 February 2006 Noisy image enhancement on smooth function spaces

Mong-Shu Lee

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 606409 (2006) https://doi.org/10.1117/12.641102
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Mong-Shu Lee "Noisy image enhancement on smooth function spaces", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 606409 (16 February 2006); https://doi.org/10.1117/12.641102

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