摘要
针对传统小波计算量大、实时性差的缺点,使用提升格式的小波进行图像融合,计算量明显减少,实时性也明显提高。在分析比较几种小波的基础上,选出一种更适合于图像分解的小波基。同时,针对低频和高频系数不同的情况选择不同的融合规则。从融合效果可以看出,采用该算法得到的模糊图像融合效果较好。
In this paper,in order to enhance the wavelet-based fuzzy image fusion algorithm,the shortcomings of large cal- culation and poor real-time of traditional wavelet are overcome, using the wavelet lifting scheme for image fusion, signifi- cantly reduces the computation ,the real-time is also markedly improved.Several wavelet basis are analyzed and compared, to select a more suitable wavelet basis for image decomposition.At the same time,so as to choose different fusion rules aiming at low-frequency and high-frequency coefficients for different circumstances.Effect can be seen from the fusion, the fuzzy image has better effect by using the algorithm.
出处
《电子设计工程》
2009年第10期77-78,81,共3页
Electronic Design Engineering
关键词
提升小波
图像融合
融合规则
小波基
lifting wavelet
image fusion
fusion rules
wavelet basis
