摘要
文章探讨了一种新的基于提升小波变换的图像融合算法。该算法能够有效地解决目前常用的多尺度分解方法所存在的运算速度慢、对内存的需求量大、不适于实时应用的局限性。同时,该算法可以最大限度地保留待融合图像的信息,提高了待融合图像的清晰度。实验结果表明,该算法在执行时间和融合后的图像质量上都优于传统的方法。
Image fusion is a kind of new fashioned, hot and knotty technology, which can be used in a wide range of applications.I disscused a new image fusion method based on Lifting Wavelet transform in this paper.It can best deal with based on MRA Multi-resolution Analysis method which is time and memory consuming, which impedes its real-time application.Meanwhile, this scheme makes best use of the information in primitive images to be fused and prevents the loss of image information. Through the experiment we can see the spatial quality of image have been improved.It is better than traditional method.
出处
《电脑与信息技术》
2006年第3期5-7,18,共4页
Computer and Information Technology