期刊
OPTICS COMMUNICATIONS
卷 282, 期 16, 页码 3231-3242出版社
ELSEVIER
DOI: 10.1016/j.optcom.2009.05.021
关键词
Image reconstruction; Multi-focus image fusion; Focus measures; Impulsive noise
类别
资金
- Research Foundation of the Erciyes University, Kayseri, Turkey [FBA-05-04]
In many practical applications, images are distorted by impulsive noise (IN) produced by image sensors and/or communication channels. This noise may cause miscalculation of sharpness values which, in turn, introduce significant errors in the results of image fusion. In this paper, conventional focus measures and frequency selective weighted median filter (FSWM) are evaluated for fusion of multi-focus images in the presence of IN. FSWM is also compared with other multi-focus fusion methods such as Laplacian Pyramid and wavelet. Experimental results are presented for several sets of images and the results show that FSWM can provide better performance than other focus measures and methods. (C) 2009 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据