Nonlinear curvelet diffusion for noisy image enhancement

Ying Li, Huijun Ning, Yanning Zhang, David Feng

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Digital image degradation normally arises during image acquisition and processing, which has a direct influence on the visual quality of the image. This paper proposes a combined method for enhancement of noisy image by using the mirror-extended curvelet transform and nonlinear anisotropic diffusion. First, an improved enhancement function is proposed to nonlinearly shrink and stretch the curvelet coefficients. Then, the enhanced results are further processed by the nonlinear diffusion where only the nonsignificant, i.e., nonthresholded, curvelet coefficients are changed by means of a diffusion process in order to reduce the pseudo-Gibbs artifacts. Experimental results indicate the proposed method has better performances to enhance the shape of edges and important detailed features as well as suppress noise, in comparison to the curvelet-based enhancement method without diffusion and the wavelet-based enhancement methods with/without diffusion.

源语言英语
主期刊名ICIP 2011
主期刊副标题2011 18th IEEE International Conference on Image Processing
2557-2560
页数4
DOI
出版状态已出版 - 2011
活动2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, 比利时
期限: 11 9月 201114 9月 2011

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

会议

会议2011 18th IEEE International Conference on Image Processing, ICIP 2011
国家/地区比利时
Brussels
时期11/09/1114/09/11

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