Color correction algorithm for color constancy finite dimensional linear model under complex illumination

2018 ◽  
Vol 116 ◽  
pp. 233-237 ◽  
Author(s):  
Fei Wang ◽  
Wei Wang ◽  
Zhiliang Qiu
Keyword(s):  
Linear Model ◽  
Color Constancy ◽  
Color Correction ◽  
Correction Algorithm ◽  
Finite Dimensional

A Correction Algorithm of Multi-View Image System

2014 ◽  
Vol 631-632 ◽  
pp. 395-398
Author(s):  
Xin Yang Wang ◽  
Huan Xia Feng ◽  
Jian Zhang
Keyword(s):  
Light Source ◽  
Color Constancy ◽  
Histogram Equalization ◽  
Experimental Results ◽  
Image Correction ◽  
Correction Algorithm ◽  
Intrinsic Properties ◽  
Image System ◽  
Correction Effect ◽  
Color Restoration

This paper, based on the Retinex Color Constancy Theory, proposes a novel multi-view image correction algorithm, which correction effect is very effective. Histogram equalization,retinex processing and color restoration are performed for multi-view images,and extract reflectance which describe object intrinsic properties to eliminate un-consistent light source influence.The experimental results show that corrected images not only have high color contract,also have consistent color appearance with others.

An Improved Unsupervised Color Correction Algorithm for Underwater Image

2021 ◽  
Author(s):  
Xudong Wang ◽  
Jingya Yang ◽  
Pei Ruan ◽  
Peizhen Wang
Keyword(s):  
Color Correction ◽  
Correction Algorithm ◽  
Underwater Image

Image Enhancement

2020 ◽  
pp. 211-223
Author(s):  
Rasmita Lenka ◽  
Asimananda Khandual ◽  
Koustav Dutta ◽  
Soumya Ranjan Nayak
Keyword(s):  
Image Enhancement ◽  
Color Constancy ◽  
Correction Method ◽  
Color Correction ◽  
Dark Channel Prior ◽  
Post Processing ◽  
Dark Channel ◽  
Novel Method ◽  
Low Illumination ◽  
Human Eyes

This chapter describes a novel method to enhance degraded nighttime images by dehazing and color correction method. In the first part of this chapter, the authors focus on filtering process for low illumination images. Secondly, they propose an efficient dehazing model for removing haziness Thirdly, a color correction method proposed for color consistency approach. Removing nighttime haze technique is an important and necessary procedure to avoid ill-condition visibility of human eyes. Scattering and color distortion are two major problems of distortion in case of hazy image. To increase the visibility of the scene, the authors compute the preprocessing using WLS filter. Then the airlight component for the non-uniform illumination presents in nighttime scenes is improved by using a modified well-known dark-channel prior algorithm for removing nighttime haze, and then it uses α-automatic color equalization as post-processing for color correction over the entire image for getting a better enhanced output image free from haze with improved color constancy.

Sign in / Sign up

Export Citation Format

Share Document