【作者】 徐胜男； 杨承磊； 李振华；

【Author】 XU Sheng-nan 1,2, YANG Cheng-lei 1+, LI Zhen-hua 3 1(School of Computer Science and Technology, Shandong University, Jinan 250061, China) 2(School of Information Technology, Jinan Radio and TV University, Jinan 250001, China) 3(School of Electrical and Information Engineering, Shanghai Jiao Tong University, Shanghai 200030, China)

【机构】 山东大学计算机科学与技术学院； 上海交通大学电子信息与电气工程学院；

【摘要】 由于光学镜头的景深有限,在实际摄像中很难得到所有景物均清晰的图像。多聚焦图像融合是解决此问题的基本方法。本文提出一种灰度多聚焦图像融合算法:待融合图像先采用离散小波框架变换进行分解,再根据分解后的系数求取待融合图像中各像素的清晰度,最后根据各像素的清晰度对待融合图像中的清晰区域进行组合。实验表明本文算法能较好地解决灰度多聚焦图像融合问题。更多还原

【Abstract】 Due to the limited depth-of-field of optical lenses, it is difficult for us to get an image with all objects in focus. Multifocus image fusion can overcome this problem. This paper describes a discrete wavelet frame transform based multifocus image fusion algorithm. The source images are first decomposed by the discrete wavelet frame transform. Then the clarity measure of each pixel is calculated according to the decomposition coefficients. Fused image is obtained by combining all the clearest pixels in the source images. Experiments show that the proposed algorithm works well in gray multifocus image fusion.更多还原