Image Fusion by Incorporating Cycle Spinning with Wavelet Transform

摘要：

Cycle Spinning has been well recognized as an effective approach to mitigating the pseudo-Gibbs phenomenon in image denoising, but its application in image fusion has seldom mentioned. In this paper, we 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.

关键词： Cycle Spinning Wavelet Transform Image fusion Translation Invariance

作者: Yan Xu Huichuan Duan

作者单位: School of Information Science & Engineering, Shandong Normal University, Jinan, P.R. China

会议类型: 国际会议

会议名称: 第一届国际教育信息技术及应用研讨会(2007 1st International Symposium on Information Technologies and Applications in Education(ISITAE 2007))

会议地点: 昆明

会议语种:英文

在线出版日期: 2007-11-23（万方平台首次上网日期，不代表论文的发表时间）