小波变换结合Cycle Spinning图像融合的研究

Image Fusion Based on Wavelet Transform with Cycle Spinning

正交小波变换对平移具有敏感性,直接使用其进行变换会产生伪吉布斯现象,Cycle Spinning方法在此基础上产生。但目前文献中较少使用该方法进行图像融合的研究。结合小波变换和Cycle Spinning循环平移的思想,提出一种基于小波变换的Cycle Spinning图像融合方法。实验证明该方法与传统DWT方法相比,能有效地保留图像细节信息,获得更好的视觉效果,更高的PSNR值和更低的RMSE值。

Due to the sensibility to translation of the wavelet transform, image processing by orthonormal wavelet would lead to Pseudo - Gibbs phenomena. Cycle Spinning was produced in this background, but this method was seldom mentioned and used in image fusion literature at present. This paper, trying to combine wavelet transform with the thought of cycle translation, presented a method for image fusion based on wavelet transform using Cycle Spinning. The experimental results indicated that the method can reserve more detail information of images and get better visual effect, higher PSNR value and lower RMSE value,compared with traditional discrete wavelet transform（DWT）.