基于小波变换的不同融合规则的图像融合研究(英文)

On Image Fusion Based on Different Fusion Rules of Wavelet Transform

提出了利用小波变换按照不同融合规则及融合算子去构造融合图像对应的小波系数 ,得到一种新的基于多尺度分解的像素的图像融合方法 通过对融合图像统计参数对比表明 ,所提出的基于小波变换的像素局部能量作为准则的融合效果更好 ,既可避免传统融合规则存在的信息损失 ,又提高了融合图像的空间分辨率和清晰度 ,融合图像符合人的视觉特性 。

A new image fusion method based on wavelet transform according to local area energy of each pixel is presented. Wavelet transform is used to construct the wavelet coefficients of fused image using multiple operators according to different fusion rules. The fusion results between visual image and infrared image are evaluated by comparing statistical parameters of fused images. The designed method improves the definition and the special quality of image,and is more suitable for multiscale properties of the human vision system.