Feature of Human Vision System Based Multi-Focus Image Fusion

LI Shu-tao; WANG Yao-nan; ZHANG Chang-fan

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Feature of Human Vision System Based Multi-Focus Image Fusion

更新时间：2025-07-16

- Feature of Human Vision System Based Multi-Focus Image Fusion
- Acta Electronica Sinica Vol. 29, Issue 12, Pages: 1699-1701(2001)
- 作者机构：
  
  湖南大学电气与信息工程学院,湖南,长沙,410082
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2001
- 稿件说明：
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LI Shu-tao, WANG Yao-nan, ZHANG Chang-fan. Feature of Human Vision System Based Multi-Focus Image Fusion[J]. Acta Electronica Sinica, 2001, 29(12): 1699-1701.
DOI：

LI Shu-tao, WANG Yao-nan, ZHANG Chang-fan. Feature of Human Vision System Based Multi-Focus Image Fusion[J]. Acta Electronica Sinica, 2001, 29(12): 1699-1701. DOI：

摘要

本文提出了一种考虑人眼视觉系统特性的多聚焦图像融合算法.融合过程是首先将配准的源图像分割成若干个块

计算出每个块的对比度方差

作为图像均匀度参数

通过选取两幅图像中清晰的图像块形成融合图像.文中讨论了分解图像块的大小和阈值参数对融合性能的影响.实验结果表明本文提出的算法实时性好

对于严格配准的多聚焦图像能够达到甚至超过基于小波分解的融合算法.

Abstract

In this paper

a multi-focus image fusion algorithm is proposed which takes features of human vision system (HVS) into account.First

registered original images are divided into several blocks.Then contrast error of every block is calculated considering contrast masking sensitivity.Finally

the contrast errors of corresponding blocks are compared to decode which should be used to construct the fused image.The influences of two parameters

size of decomposed block and threshold

on fusion performance are discussed.Experimental results show that the proposed method can operate real time.To stringent registered multifocus images

the proposed algorithm can achieve equivalent or superior performance to the algorithm based on wavelet decomposition.

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Contrast-Based Multiresolution Image Fusion

The Nonsubsampled Contourlet Transform in Multisensor Images Fusion

Multisensor Image Fusion Based on Linear Fusion Model

An Image Fusion Algorithm Using Wavelet Transform

A Study on Rule of Image Fusion Via Localized Harmonious Energy

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