«Previous Article|Table of Contents|Next Article»

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:

2017年04期

Page:

57-62

Research Field:

研究与设计

Publishing date:

Info

Title:

Image fusion enhancement algorithm based on wavelet transform

Author(s):

GAO Lin¹;  ZHAO Jianhui²

1. Xi’an Aerospace Propulsion Test Technology Institute, Xi’an 710100, China; 2. PLA Air Force Xi’an Flight Academy, Xi’an 710306, China

Keywords:

multi-focus image;  image fusion algorithm;  wavelet transform;  simulation experiment

PACS:

V416-34

DOI:

-

Abstract:

In this paper, an image fusion algorithm based on wavelet transform is proposed to solve the problem that all the target objects in the high frame rate images taken by the current high-speed photography system can not be guaranteed to be clear enough. An improved fusion rule is adopted to perform the simulation experiment for the low-frequency coefficients and high-frequency coefficients obtained by fast wavelet transform, and compared with the traditional image fusion rules. The experiment results show that the improved fusion role has better applicability and application value.

References:

[1]WANG Z J, ZIOU D. A comparative analysis of image fusion methods[J]. IEEE transactions on geosciences and remote sensing, 2005, 43(6): 1391-1400.
[2]王智均, 李德仁. 利用小波变换对影像进行融合的研究[J]. 武汉测绘科技大学学报,2000, 25(2): 137-141.
[3]林卉, 杜培军, 肖剑平. 利用小波变换进行遥感多光谱图像融合的算法及实现[J]. 地球科学与环境学报, 2006, 2(1): 75-78.
[4]曾梅兰, 金升平. 基于小波框架的多传感器图像融合[J].计算机工程与应用, 2004, 40(25): 59-61.
[5]POLO A, CATTANI F, VAVASSORI A, et al. MR and CT image fusion for postimplant analysis in permanent prostate seed implants[J]. International journal of radiation oncology biology physics, 2004, 60(5): 1572-1579.

Memo

Memo:

-

Common functions

Last Update: 1900-01-01