Image Fusion Algorithm Based on Fractal Dimension and Multi-wavelet Transform Domain
SHEN Rong;School of Computer Science,Sichuan University of Arts and Science;
To make full use of image texture feature,multi-wavelet transform method and fractal theory has been combined,and a new fusion algorithm is proposed based on wavelet transform domain contrast and fractal dimension of image.First,the original image is decomposed through multi-wavelet transform. Second,calculating the low frequency coefficients of fractal dimension by differential box-counting.Then, establishing fusion rule of low frequency coefficients based on fractal dimension.Weighted average or selection method is used to calculate the high frequency part based on domain contrast.The experiments using this algorithm to the fusion process of IR and visual images.Objective index entropy,standard deviation and quality metrics are applied to evaluate fusion quality.Experimental results show that the combination of fractal dimension and multi-wavelet transform can improve process quality and efficiency obviously.
【CateGory Index】： TP391.41