基于区间小波的红外/可见光图像融合

Fusion of Infrared and Visible Image with Wavelet on Interval

针对红外和可见光图像的特点,结合V.Petrovic提出的融合方法,给出了一种改进的基于区间小波的图像融合算法.按照V.Petrovic的方法对源图像的梯度细节图像进行融合/分解并得到源图像的多尺度金字塔,对金字塔中的两个低通分量加权平均后进行反变换,得到融合图像.目视观察和客观评价指标表明:算法取得了较好的融合效果,并且区间双正交小波融合效果好于区间正交小波,这符合双正交小波具有对称性,更适合图像处理的特性.

Aimed at features of infrared and visible images and combined with V. Petrovic＇s fusion method, an improved approach based on wavelets on intervals is presented. Gradient filter of wavelets on intervals is first presented in matrix form. Then the gradient map of two original images is disposed with fusion/decomposition step and a multiresolution pyramid representation of original images is obtained. Averaging two low-pass components in the pyramid and taking inverse transform, the fusion image is obtained. Evaluated with subjective test and objective performance measurement, the algorithm is found to be practical, and the fusion result with biorthogonal wavelet on intervals is proved to be better than orthogonal wavelet on intervals, which accords with the fact that biorthogonal wavelet possess symmetry and is more suitable for image processing.