###

计算机系统应用英文版:2018,27(4):209-214

←前一篇 | 后一篇→

码上扫一扫！

下载全文

基于多项式回归的四带图像偏色校正算法

曾兆滨¹, 郑华^1,2,3,4,5, 蔡坚勇^1,2,3,4,5, 廖晓东^1,2,3,4,5

(1.福建师范大学光电与信息工程学院, 福州 350007;2.福建师范大学医学光电科学与技术教育部重点实验室, 福州 350007;3.福建师范大学福建省光子技术重点实验室, 福州 350007;4.福建师范大学福建省光电传感应用工程技术研究中心, 福州 350007;5.福建师范大学智能光电系统工程研究中心, 福州 350007)

Color Correction Algorithm for Four-Band Image Based on Polynomial Regression

ZENG Zhao-Bin¹, ZHENG Hua^1,2,3,4,5, CAI Jian-Yong^1,2,3,4,5, LIAO Xiao-Dong^1,2,3,4,5

(1.College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;2.Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China;3.Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China;4.Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China;5.Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China)

摘要

图/表

参考文献

相似文献

本文已被：浏览 2295次下载 2770次
Received:August 10, 2017 Revised:September 12, 2017

中文摘要: 针对可见光图像在受到红外光串扰的情况下产生的偏色现象，提出了一种基于多项式回归构建解串扰矩阵的四带图像（RGB三带和IR近红外带）偏色校正算法，该算法在特定的光源条件下，利用标准色卡的24个色块，采用多项式回归的思想构建解串扰矩阵.使用该解串扰矩阵对同种光源条件下拍摄的四带图像进行偏色校正，达到去除红外光串扰的目的.实验结果表明，该方法只需进行一次标定校正矩阵，就可以对同种光源条件下拍摄的不同图像进行偏色校正，恢复图像自然的色彩.

中文关键词: 红外串扰四带图像偏色校正解串扰矩阵多项式回归

Abstract:The images combining visible and infrared light would produce color deviation. In response to this phenomenon, this study proposes a de-crosstalk matrix color correction algorithm based on polynomial regression to counter the crosstalk problem of four-band images (RGB three-band and IR near-infrared band). Under specific lighting conditions, the algorithm uses 24 color blocks of standard color checker to build the de-crosstalk matrix according to the idea of polynomial regression. The de-crosstalk matrix will be used for four-band images which are taken under the same lighting conditions to remove the near-infrared crosstalk and realize color correction. The experimental results indicate that the method does not only need to calibrate the correction matrix at one time, the color deviation images taken under the same lighting conditions will be corrected and restored the natural colors of themselves thereafter.

keywords: infrared crosstalk four-band image color correction de-crosstalk matrix polynomial regression

文章编号： 中图分类号： 文献标志码：

基金项目:

Author Name	Affiliation
ZENG Zhao-Bin	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
ZHENG Hua	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China
LIAO Xiao-Dong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China

Author Name	Affiliation
ZENG Zhao-Bin	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
ZHENG Hua	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China
LIAO Xiao-Dong	College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Center, Fujian Normal University, Fuzhou 350007, China

引用文本：
曾兆滨,郑华,蔡坚勇,廖晓东.基于多项式回归的四带图像偏色校正算法.计算机系统应用,2018,27(4):209-214
ZENG Zhao-Bin,ZHENG Hua,CAI Jian-Yong,LIAO Xiao-Dong.Color Correction Algorithm for Four-Band Image Based on Polynomial Regression.COMPUTER SYSTEMS APPLICATIONS,2018,27(4):209-214