An Image Fusion Algorithm Based on Receptive Field Model

ZHAO Wei; HUANG Jing-jing; TIAN Bin

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An Image Fusion Algorithm Based on Receptive Field Model

更新时间：2025-07-16

- An Image Fusion Algorithm Based on Receptive Field Model
- Acta Electronica Sinica Vol. 36, Issue 9, Pages: 1665-1669(2008)
- 作者机构：
  
  1. 北京航空航天大学203教研室,北京,100083
  2. 第二炮兵装备研究院,北京,100085
  3. 北京航空航天大学203教研室北京,100083
  4. 第二炮兵装备研究院北京,100085
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published Online：25 September 2008，
  
  Published：2008
- 稿件说明：
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ZHAO Wei, HUANG Jing-jing, TIAN Bin. An Image Fusion Algorithm Based on Receptive Field Model[J]. Acta Electronica Sinica, 2008, 36(9): 1665-1669.
DOI：

ZHAO Wei, HUANG Jing-jing, TIAN Bin. An Image Fusion Algorithm Based on Receptive Field Model[J]. Acta Electronica Sinica, 2008, 36(9): 1665-1669. DOI：

摘要

现实世界中最优的图像融合系统莫过于生物视觉系统.如果能够了解生物视觉的基本原理

建立其数学模型

并能应用于多传感器图像融合实践中

将会对多传感器图像融合技术的发展有很大促进作用.本文以人类视觉的生物机理和感受野的数学模型为基础

提出了一种新颖的基于人眼视觉感受野模型的图像融合算法.这种算法非常适合融合两幅灰度差异较大的异质传感器图像

融合图像在保留两幅原图像中有用信息的同时

还对图像间的差异进行了增强

有助于提高观察者识别目标的速度和准确性.另外

该算法还有一定的去噪功能

计算量很小

可满足实时性要求.

Abstract

The best image fusion system in real world is human vision.If we can know the biological machine and build its mathematic model

it will be very useful in application.In this paper

we describe the biological knowledge of human eyes

such as receptive field.And a new image fusion algorithm based on human vision model is presented.This method is suitable to fuse two images with different gray levels from different sensors.While all useful information in original images can be observed in fused images

the differences of two images are enhanced.The enhancement helps the observer to recognize the objects correctly and quickly.Additionally

this algorithm reduces the noise in original images and has low calculation cost.It can satisfies the real time requirement.

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