摘要
提出一种基于边缘增强的多聚焦图像融合方法,对需要融合的2幅图像进行小波多尺度分解,根据绝对值最大的方法对高频细节分量图像进行融合,通过增强和提取原始图像的边缘信息强度指导低频近似分量的融合,以此突出融合图像中的边缘信息.采用信息熵和标准差等评价指标对该方法进行客观评价.结果表明:该方法融合效果良好,可以更好地突出低频域边缘细节信息,提高融合图像的清晰度,改善视觉效果.
A multi-focus image fusion method based on edge enhancement is proposed. It adopts wavelet multi-scale decomposition in the image needs fusion. The high frequency detail images of the top layer are fused using absolute maximum, the edge information intensity of original image is extracted and enhanced to guide the image fusion of low-frequency approximation component, in order to highlight the edge information of image fusion. The method is objectively evaluated by using information entropy, standard deviation and so on. The experiment results show that the method is effective, and the edge detail information is better emerged and the clarity and visual effects of image fusion are improved.
出处
《天津师范大学学报(自然科学版)》
CAS
2012年第3期42-44,50,共4页
Journal of Tianjin Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(60970060)
国家自然科学基金资助项目(61103074)
天津市自然科学基金资助项目(11JCBJC00600)
关键词
边缘增强
多聚焦图像融合
小波变换
边缘信息强度
edge enhancement
multi-focus image fusion
wavelet transform
edge information intensity