一种基于方向窗特性的Contourlet域的多聚焦图像融合算法

针对同一场景多聚焦图像的融合问题,提出了一种基于方向区域特性的Contourlet域多聚焦图像融合算法.该算法对图像进行Contourlet变换,分解为不同尺度、不同方向的高低频子带|低频和高频子带分别采用方向区域的方差匹配度和能量作为融合规则|最后通过反变换得到融合图像.结果表明,所提出的方向区域方法能够更好地体现二维图像中的曲线或直线状边缘特征,是一种有效可行的图像融合算法.     

Multifocus image fusion scheme using focused region detection and multiresolution

To solve the fusion problem of the multifocus images of the same scene, a novel algorithm based on focused region detection and multiresolution is proposed. In order to integrate the advantages of spatial domain-based fusion methods and transformed domain-based fusion methods, we use a technique of focused region detection and a new fusion method of multiscale transform (MST) to guide pixel combination. Firstly, the initial fused image is acquired with a novel multiresolution image fusion method. The pixels of the original images, which are similar to the corresponding initial fused image pixels, are considered to be located in the sharply focused regions. By this method, the initial focused regions can be determined, and the techniques of morphological opening and closing are employed for post-processing. Then the pixels within the focused regions in each source image are selected as the pixels of the fused image; meanwhile, the initial fused image pixels which are located at the focused border regions are retained as the pixels of the final fused image. The fused image is then obtained. The experimental results show that the proposed fusion approach is effective and performs better in fusing multi-focus images than some current methods.