基于视觉感知的小波图像融合方法研究

Study on the Wavelet Image Fusion Method Based on Visual Perception

结合人眼视觉"对比度敏感"这一生理特性,提出一种基于视觉感知的小波图像融合新方法,该方法避免了小波系数比值、邻域方差比值和块方差比值三种方法在提高融合图像对比度时存在的问题,对低频引入空间活跃度一致性原则,对高频采用均匀度择优法,从而提高了低频图像的对比度,同时又丰富了图像的空间细节信息量。最后通过试验验证了该方法的有效性。

A new wavelet image fusion method based on human visual perception was proposed, which was combined with the human visual physiological character so as to avoid the problem of three image fusion methods on the ratio of wavelet coefficient, adjacent variance and block variance in enhancing the fusion image contrast. The consistent principle of space activity was adopted for low frequency information and better uniformity degree was for high frequency information can improve the contrast in low frequency and enhance the amount of the space detail information. The validity of the algorithm was proved by experimental simulation.