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基于小波变换与块分割的多聚焦图像融合
引用本文:郭敏,任娜. 基于小波变换与块分割的多聚焦图像融合[J]. 云南大学学报(自然科学版), 2008, 30(3): 251-255
作者姓名:郭敏  任娜
作者单位:陕西师范大学,计算机科学学院,陕西,西安,710062
摘    要: 提出了1种新的多聚焦图像融合方法.首先,对2幅源图像采用小波变换的方法进行图像融合,得到初始的融合图像;其次,针对多聚焦图像的特点,采用块区域局部小波空间频率将图像划分为3部分:聚焦清晰区域、聚焦模糊区域以及两者的交界区域.对于聚焦清晰和模糊区域,直接选取清晰区域作为融合后的相应块区域;对于边界区域,则选取小波融合的图像块区域.实验对比结果表明,该方法的融合效果明显优于常见的融合方法,并消除了块效应.

关 键 词:小波变换  块分割  空间频率  多聚焦图像融合
文章编号:0258-7971(2008)03-0251-05
修稿时间:2007-07-20

Multi-focus image fusion based on wavelet transform and block segment
GUO Min,REN Na. Multi-focus image fusion based on wavelet transform and block segment[J]. Journal of Yunnan University(Natural Sciences), 2008, 30(3): 251-255
Authors:GUO Min  REN Na
Affiliation:College of Computer Science, Shanxi Normal University, Xi’an 710062, China
Abstract:A new method of multi-focus image fusion is proposed.Firstly,by using wavelet transform method,two source images are fused to get the primary fusion image.Then,with regard to characteristics of multi-focus images,the measurement between clear and blurring one is based on the wavelet space frequency of image block.As to the clear and blurring one,the former is selected as the corresponding block of fusion image,while the part between clear part and blurring one is fused by the choice of the image using wavelet transform.The experiments show that the proposed method outperforms the common methods,and eliminates block effects.
Keywords:wavelet transform  space frequency  block segment  multi-focus image fusion
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