Image Fusion by Incorporating Cycle Spinning with Wavelet Transform

Yan Xu, Huichuan Duan
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Abstract

Cycle Spinning has been well recognized as an effective approach to mitigating the psendo-Gibbs phenomenon in image denoising, but its application in image fusion has seldom mentioned. In this paper, ire have attempted to incorporate Cycle Spinning with wavelet transform to improve image fusion. Our experiments show that this approach can mitigate the distortion caused by the lack of translation invariance in wavelet transform, and effectively preserve the details of images. Our experiments also show substantial PSNR advancement as well as obvious visual improvement in fused images.
结合循环纺丝和小波变换的图像融合
循环纺丝是一种有效的图像去噪方法,但其在图像融合中的应用却很少被提及。本文尝试将循环纺丝与小波变换相结合来改善图像融合。实验结果表明,该方法可以有效地消除小波变换中平移不变性导致的图像失真,并有效地保留图像的细节。我们的实验还显示了显著的PSNR进步以及融合图像的明显视觉改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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