摘要
作为像素级融合的方法之一,小波变换具有多分辨分析和多尺度分析的特点,目前被广泛应用于红外和可见光图像融合中。本文通过深入研究现有的图像融合算法,研究小波基的提升方案,并对其提升处理后的小波性能进行比较。
As a kind of pixel level fusion method, wavelet transform with its characters of multi-resolution analysis and multi-scale analysis, is currently being widely used in the fusion of infrared and optical images. This paper in-depth studies the existing image fusion algorithm, and through studying schemes to improve wavelet bases, compares the performance of wavelets after their improvement.
出处
《科技广场》
2014年第1期53-56,共4页
Science Mosaic
关键词
小波变换
图像融合
小波基
Wavelet Transform
Image Fusion
Wavelet Basis
