Multifocus image fusion based on features contrast of multiscale products in nonsubsampled contourlet transform domain
Multifocus image fusion based on features contrast of multiscale products in nonsubsampled contourlet transform domain
复制标题
非下采样轮廓波变换域基于多尺度乘积特征对比的多聚焦图像融合
DOI：
10.1016/j.ijleo.2011.02.034
复制
发表时间：
2012-01-01
期刊：
影响因子：
3.1
通讯作者：
Zhang, Xiaoyang
中科院分区：
文献类型：
--
作者：
Chai, Yi;Li, Huafeng;Zhang, Xiaoyang
本文提出了一种基于非下采样轮廓波变换（NSCT）域中多尺度产品局部特征对比的高效多焦点图像融合方法。为了提高融合算法对噪声的鲁棒性以及正确选择融合图像的系数，开发了在NSCT领域能够更有效地区分边缘结构和噪声的多尺度产品，并将其引入图像融合领域。详细讨论了NSCT分解得到的不同子带系数的选择原则。为了提高融合图像的质量，开发了新颖的不同局部特征对比度测量，该测量被证明更适合人类视觉系统，可以从源图像中提取更多有用的细节信息并将其注入到融合图像中，并用于从子图像的清晰部分中选择系数来组成融合图像的系数。实验结果表明，该方法在融合噪声和无噪声多焦点图像方面表现良好，并且在视觉质量和客观评价标准方面均优于传统方法。 (C) 2011 爱思唯尔有限公司。版权所有。
In this paper, an efficient multifocus image fusion approach is proposed based on local features contrast of multiscale products in nonsubsampled contourlet transform (NSCT) domain. In order to improve the robustness of the fusion algorithm to the noise and select the coefficients of the fused image properly, the multiscale products, which can distinguish edge structures from noise more effectively in NSCT domain, is developed and introduced into image fusion field. The selection principles of different subband coefficients obtained by the NSCT decomposition are discussed in detail. To improve the quality of the fused image, novel different local features contrast measurements, which are proved to be more suitable for human vision system and can extract more useful detail information from source images and inject them into the fused image, are developed and used to select coefficients from the clear parts of subimages to compose coefficients of fused images. Experimental results demonstrate the proposed method performs very well in fusion both noisy and noise-free multifocus images, and outperform conventional methods in terms of both visual quality and objective evaluation criteria. (C) 2011 Elsevier GmbH. All rights reserved.