Improving Discrimination in Color Vision Deficiency by Image Re-Coloring
People with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorith...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/10/2250 |
id |
doaj-948658d9f2174001bb432a9e6c93cc59 |
---|---|
record_format |
Article |
spelling |
doaj-948658d9f2174001bb432a9e6c93cc592020-11-24T21:29:03ZengMDPI AGSensors1424-82202019-05-011910225010.3390/s19102250s19102250Improving Discrimination in Color Vision Deficiency by Image Re-ColoringHuei-Yung Lin0Li-Qi Chen1Min-Liang Wang2Department of Electrical Engineering, Advanced Institute of Manufacturing with High-Tech Innovation, National Chung Cheng University, Chiayi 621, TaiwanDepartment of Electrical Engineering, National Chung Cheng University, Chiayi 621, TaiwanAsian Institute of TeleSurgery/IRCAD-Taiwan, Changhua 505, TaiwanPeople with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorithm based on eigenvector processing is proposed for robust color separation under color deficiency transformation. It is shown that the eigenvector of color vision deficiency is distorted by an angle in the <inline-formula> <math display="inline"> <semantics> <mi>λ</mi> </semantics> </math> </inline-formula>, <i>Y-B</i>, <i>R-G</i> color space. The experimental results show that our approach is useful for the recognition and separation of the CVD confusing colors in natural scene images. Compared to the existing techniques, our results of natural images with CVD simulation work very well in terms of RMS, HDR-VDP-2 and an IRB-approved human test. Both the objective comparison with previous works and the subjective evaluation on human tests validate the effectiveness of the proposed method.https://www.mdpi.com/1424-8220/19/10/2250color vision deficiencyimage re-coloringvisual assistance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Huei-Yung Lin Li-Qi Chen Min-Liang Wang |
spellingShingle |
Huei-Yung Lin Li-Qi Chen Min-Liang Wang Improving Discrimination in Color Vision Deficiency by Image Re-Coloring Sensors color vision deficiency image re-coloring visual assistance |
author_facet |
Huei-Yung Lin Li-Qi Chen Min-Liang Wang |
author_sort |
Huei-Yung Lin |
title |
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring |
title_short |
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring |
title_full |
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring |
title_fullStr |
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring |
title_full_unstemmed |
Improving Discrimination in Color Vision Deficiency by Image Re-Coloring |
title_sort |
improving discrimination in color vision deficiency by image re-coloring |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-05-01 |
description |
People with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorithm based on eigenvector processing is proposed for robust color separation under color deficiency transformation. It is shown that the eigenvector of color vision deficiency is distorted by an angle in the <inline-formula> <math display="inline"> <semantics> <mi>λ</mi> </semantics> </math> </inline-formula>, <i>Y-B</i>, <i>R-G</i> color space. The experimental results show that our approach is useful for the recognition and separation of the CVD confusing colors in natural scene images. Compared to the existing techniques, our results of natural images with CVD simulation work very well in terms of RMS, HDR-VDP-2 and an IRB-approved human test. Both the objective comparison with previous works and the subjective evaluation on human tests validate the effectiveness of the proposed method. |
topic |
color vision deficiency image re-coloring visual assistance |
url |
https://www.mdpi.com/1424-8220/19/10/2250 |
work_keys_str_mv |
AT hueiyunglin improvingdiscriminationincolorvisiondeficiencybyimagerecoloring AT liqichen improvingdiscriminationincolorvisiondeficiencybyimagerecoloring AT minliangwang improvingdiscriminationincolorvisiondeficiencybyimagerecoloring |
_version_ |
1725967705786286080 |