Infrared Image and Visual Image Fusion Algorithm Based on NSCT and Improved Weight Average

摘要

Aiming at the charecteristics of the infrared and visible light image, a fusion method of the infrared and visible image based on the nonsampled contourlet transform(NSCT) is proposed. Through the use of NSCT to decompose the source image sparsely on multi-dirction and multi-scale, the low-frequency components and every bandpass subband direction components are obtained. For the low frequency subband components, the fusion method of the improved weighted average is adopted, for the top of the high-frequency components, the fusion method of big section of the regional variance is adopted, for the other layers of the high-frequency subband, the fusion method of the regional energy weighted average is adopted. The experiment results show that the method proposed in this paper can obtain more detail information and achieve the more ideal fusion image.