Next Article in Journal
A Constrained Coding-Aware Routing Scheme in Wireless Ad-Hoc Networks
Previous Article in Journal
Dynamic Parameter Identification for a Manipulator with Joint Torque Sensors Based on an Improved Experimental Design
Previous Article in Special Issue
Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks
Article Menu

Export Article

Open AccessArticle

Improving Discrimination in Color Vision Deficiency by Image Re-Coloring

1
Department of Electrical Engineering, Advanced Institute of Manufacturing with High-Tech Innovation, National Chung Cheng University, Chiayi 621, Taiwan
2
Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan
3
Asian Institute of TeleSurgery/IRCAD-Taiwan, Changhua 505, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2250; https://doi.org/10.3390/s19102250
Received: 19 April 2019 / Revised: 8 May 2019 / Accepted: 13 May 2019 / Published: 15 May 2019
  |  
PDF [11875 KB, uploaded 15 May 2019]
  |  

Abstract

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 λ , Y-B, R-G 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. View Full-Text
Keywords: color vision deficiency; image re-coloring; visual assistance color vision deficiency; image re-coloring; visual assistance
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Lin, H.-Y.; Chen, L.-Q.; Wang, M.-L. Improving Discrimination in Color Vision Deficiency by Image Re-Coloring. Sensors 2019, 19, 2250.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top