Objective color image fusion performance index

PANG Hao-chen; ZHU Ming; GUO Li-qiang

doi:10.3788/OPE.20132109.2348

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Objective color image fusion performance index

更新时间：2020-08-12

- Objective color image fusion performance index
- Optics and Precision Engineering Vol. 21, Issue 9, Pages: 2348-2353(2013)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所中国科学院航空光学成像与测量重点实验室,吉林长春,130033
  2. 中国科学院大学，北京 100049
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132109.2348
  CLC： TP394.1
- Received：15 March 2013，
  
  Revised：09 May 2013，
  
  Published Online：30 September 2013，
  
  Published：15 September 2013
- 稿件说明：
移动端阅览
逄浩辰朱明郭立强. 彩色图像融合客观评价指标[J]. 光学精密工程, 2013,21(9): 2348-2353

PANG Hao-chen ZHU Ming GUO Li-qiang. Objective color image fusion performance index[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2348-2353
逄浩辰朱明郭立强. 彩色图像融合客观评价指标[J]. 光学精密工程, 2013,21(9): 2348-2353 DOI： 10.3788/OPE.20132109.2348.

PANG Hao-chen ZHU Ming GUO Li-qiang. Objective color image fusion performance index[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2348-2353 DOI： 10.3788/OPE.20132109.2348.

摘要

由于已有的彩色图像融合客观评价指标与人眼视觉感知不符，提出了基于四元数卷积的无参评价指标用于客观评价彩色图像融合。首先，以四元数的形式对彩色图像进行建模，充分考虑彩色图像作为一个整体所具有的颜色信息。然后，利用四元数值边缘模板和彩色图像进行四元数卷积运算，获取彩色图像的细节信息，度量图像的清晰度及所融合得到的有用信息，并以权重的形式给出。最后，经过一系列的量化计算给出融合图像的客观评估结果。实验结果表明：本文所提出的彩色图像融合客观评价方法充分利用了图像中的颜色信息以及人眼较为敏感的细节信息，评价结果优于传统方法，并且具有良好的稳定性。用本文方法所得到的评价结果与人类的视觉感知相符，基本满足彩色图像融合客观评价的要求。

Abstract

As existing objective evaluation index for color image fusion is inconsistent with the human vision perception

a non-reference index based on quaternion convolution was proposed. First

a color image was modeled in a holistic manner

in which the color information of the color image was considered fully as a whole. Then

the quaternion-valued edge detection template and the color image were used to do a convolution operation and to get the detailed color information. Furthermore

the image definition and useful information from the fusion were measured and they were given by weight modes. Finally

a set of quantitative computations for the fusion images were performed and objective evaluation results were given. The experimental results show that the proposed method can utilize the color information and other detail information obtained by human vision. It works better than the traditional methods

and shows a better stability in the color image fusion evaluation. The evaluation results of proposed method are consistent with the human vision perception

and fulfill the needs of objective color image fusion.

关键词

Keywords

references

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Related Institution

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