摘要
提出了将粗糙集理论与小波理论相结合的图像融合算法。对含有椒盐噪声图像进行了图像融合实验,用粗糙集对源图像增强,然后再用Db4小波对源图像进行图像融合。用熵作为图像融合效果评价准则,仿真结果表明得到的融合图像熵值比源图像大,视觉效果比源图像更好。
An image fusion algorithm using rough sets and wavelet analysis is proposed in this paper. Source images are enhanced by rough sets, and then fused using Db4 wavelet. The proposed fusion scheme is examined on images which are contaminated by pepper-salt noise. Entropy is used as the criterion for evaluating the effect of image fusion. Experimental results demonstrate the effectiveness of the fusion image algorithm.
出处
《电光与控制》
北大核心
2005年第1期18-21,共4页
Electronics Optics & Control
基金
国家自然科学基金资助项目(No.60172033)
全国优秀博士学位论文作者专项基金(No.200036)
关键词
图像融合
粗糙集
小波分析
image fusion
rough sets
wavelet analysis
