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DOI:
计算机系统应用英文版:2015,24(7):22-28
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基于分块信息熵的彩色图像融合算法
(江南大学 数字媒体学院, 无锡 214122)
Color Image Fusion Algorithm Based on Block Information Entropy
(School of Digital Media, Jiangnan University, Wuxi 214122, China)
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Received:October 29, 2014    Revised:December 17, 2014
中文摘要: 针对常用的彩色图像融合算法在融合过程中降低原图像空间分辨率的问题, 提出了一种基于分块信息熵的彩色图像融合算法. 算法通过对图像进行块划分, 计算分块图像在IHS色彩空间中亮度分量I上的信息熵, 以对应块中信息熵大的为主元进行融合, 得到新的融合图像. 实验表明, 与常用的IHS变换及PCA图像融合算法相比本文提出的方法可以更好的统筹源图像的场景细节信息, 且在信息熵与平均梯度等方面都有很好的表现, 具备一定的实用价值.
中文关键词: 图像融合  分块  信息熵  IHS变换  平均梯度
Abstract:A method of color image fusion is proposed based on block information entropy, concerning the spatial resolution reduction of the original artwork during the fusion process with the traditional image fusion method. The developed method generates new fusion image by blocking images, calculating the information entropy of the blocked image on the luminance component I in color space IHS, and fusing the pivot element of the corresponding block whose information entropy is more. The experiment suggests that the method proposed in this thesis is better capable of planning scenic detailed information as a whole, compared to the traditional color image fusion method. In addition, it performs exceptionally in many aspects including information entropy and average gradient. Therefore, it is indeed of some practical value.
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基金项目:江苏省自然基金青年基金(BK20130161)
引用文本:
杜欣宇,陈丽芳,刘渊.基于分块信息熵的彩色图像融合算法.计算机系统应用,2015,24(7):22-28
DU Xin-Yu,CHEN Li-Fang,LIU Yuan.Color Image Fusion Algorithm Based on Block Information Entropy.COMPUTER SYSTEMS APPLICATIONS,2015,24(7):22-28