基于提升小波和人眼视觉特性的自反馈彩色图像融合  

A Self-feedback Multi-focus Color Image Fusion Based on Lifting Wavelet Transform And Features of Human Vision System

作　　者：罗少鹏[1] 卢洵[1] 

机构地区：[1]解放军信息工程大学理学院,河南郑州450001

出　　处：《红外技术》2008年第1期31-34,38,共5页Infrared Technology

摘　　要：提出了一种基于提升小波变换和人眼视觉特性的自反馈彩色图像融合算法。首先讨论提升小波变换的基本原理,然后考虑到人眼的视觉特性,将彩色图像变换到YIQ颜色空间,运用不同融合规则进行融合。对I和Q色差分量采用平均法融合,对Y分量采用自反馈法得到其最终优化融合结果,最后由三分量融合结果变回RGB颜色空间。实验结果表明,该算法具有良好的融合效果。A color multi-focus image fusion of self-feedback algorithm based on lifting wavelet transform and features of human vision system is proposed. Firstly, the basic principle of lifting wavelet transform is discussed. Secondly, considered feature of human vision system, the color images are transformed into YIQ color space and different fusion rules are used. The fusion rule of average is used in fusing I and Q components, and a optimized fusion result of Y component is obtained by self-feedback fusion rule, then the three fusion results are transformed into RGB space. Experiments show that the proposed algorithm can work well in color multi-focus image fusion.

关 键 词：图像融合 提升小波变换 彩色图像 自反馈 

分 类 号：TN391.41[电子电信—物理电子学]