基于形态学小波变换的图像融合算法

在给出基于小波变换图像融合算法的基础上，为了增强图像的质量，提高图像分辨率，提出一种基于数学形态学的小波变换图像融合算法。对读入的图像进行小波变换分解，将分解后的高低频系数用一个扩展矩阵进行存储。在低频分量系数选择中，采用数学形态学方法进行边缘检测，得到边缘图像后，对边缘图像中的尺度系数采用加权平均法进行融合。在选择高频系数时，基于绝对值最大的原则。对多组图像进行实验，实验结果表明，该算法优于传统的融合算法，有效提高了图像的分辨率。

Image Fusion Algorithm Based on Morphology Wavelets Transform

Based on expatiating on image wavelet fusion algorithm, an algorithm using mathematical morphology wavelets transform is proposed. The image is decomposed into high-frequency image and low-frequency image which are stored in the extended matrix. In the low-frequency component coefficient of selection, mathematical morphology approach is used for the edge detection. After getting the edge image, the weighted average method is used to fuse the scale coefficients of the edge image. To the high-frequency image, these maximal absolute values are selected and the consistency of these coefficients is verified. This algorithm is tested by some images. Experimental result shows that the proposed method is more outstanding than the conventional methods, and effectively improves the resolution of image.