Multi-color balancing for correctly adjusting the intensity of target colors

02/03/2021
by   Teruaki Akazawa, et al.
0

In this paper, we propose a novel multi-color balance method for reducing color distortions caused by lighting effects. The proposed method allows us to adjust three target-colors chosen by a user in an input image so that each target color is the same as the corresponding destination (benchmark) one. In contrast, white balancing is a typical technique for reducing the color distortions, however, they cannot remove lighting effects on colors other than white. In an experiment, the proposed method is demonstrated to be able to remove lighting effects on selected three colors, and is compared with existing white balance adjustments.

READ FULL TEXT

page 2

page 3

page 5

research
05/21/2021

Multi-color balance for color constancy

In this paper, we propose a novel multi-color balance adjustment for col...
research
02/01/2018

Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network

The goal of the computational color constancy is to preserve the percept...
research
09/22/2022

Affective responses to chromatic ambient light in a vehicle

This study investigates the emotional responses to the color of vehicle ...
research
09/03/2021

Spatially varying white balancing for mixed and non-uniform illuminants

In this paper, we propose a novel white balance adjustment, called "spat...
research
11/16/2022

TransCC: Transformer-based Multiple Illuminant Color Constancy Using Multitask Learning

Multi-illuminant color constancy is a challenging problem with only a fe...
research
07/13/2016

Deep Structured-Output Regression Learning for Computational Color Constancy

Computational color constancy that requires esti- mation of illuminant c...
research
02/26/2019

Chromatic Adaptation Transform by Spectral Reconstruction

A color appearance model (CAM) is an advanced colorimetric tool used to ...

Please sign up or login with your details

Forgot password? Click here to reset