TY - GEN
T1 - Optimized Color Contrast Enhancement for Dichromats Using Local and Global Contrast
AU - Kang, Soo Kyeong
AU - Lee, Chul
AU - Kim, Chang Su
N1 - Funding Information:
This work was supported partly by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2018R1A2B3003896) and partly by the NRF grant funded by MSIP (No. NRF-2019R1A2C4069806).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - We propose an optimized color contrast enhancement algorithm for dichromats with color vision deficiency using local and global information. Based on the fact that dichromats perceive colors projected onto a 2D plane, we first measure the color differences on the plane. Then, we formulate an optimization problem to minimize the perceived color differences subject to constraints on the projected plane. Finally, by solving the optimization problem, we obtain the optimal plane and perform color conversion. Simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms in preserving both local details and naturalness of images.
AB - We propose an optimized color contrast enhancement algorithm for dichromats with color vision deficiency using local and global information. Based on the fact that dichromats perceive colors projected onto a 2D plane, we first measure the color differences on the plane. Then, we formulate an optimization problem to minimize the perceived color differences subject to constraints on the projected plane. Finally, by solving the optimization problem, we obtain the optimal plane and perform color conversion. Simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms in preserving both local details and naturalness of images.
KW - Color vision deficiency
KW - color contrast enhancement
KW - dichromats
KW - optimization
KW - recoloring
UR - http://www.scopus.com/inward/record.url?scp=85098661606&partnerID=8YFLogxK
U2 - 10.1109/ICIP40778.2020.9190999
DO - 10.1109/ICIP40778.2020.9190999
M3 - Conference contribution
AN - SCOPUS:85098661606
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1048
EP - 1052
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -