Bibliographic Details
| Title: |
Adaptive Enhancement Display of Chromatic Electrowetting Based on Color Conversion |
| Authors: |
Mingzhen Chen, Shanling Lin, Jianpu Lin, Zhixian Lin, Tailiang Guo |
| Source: |
IEEE Access, Vol 12, Pp 2389-2397 (2024) |
| Publisher Information: |
IEEE, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Electrowetting on dielectric (EWOD), color conversion, image enhancement, image quality optimization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
The charge capture of color inks in chromatic electrowetting electronic paper, the contact angle hysteresis and inconsistent aperture ratio result in a narrower color gamut and reduced contrast of the display screen. To address the issue, we propose an algorithm of the adaptive color conversion and the dynamic enhancement display based on the aperture ratio of the chromatic electrowetting. Firstly, the relationship between the aperture ratio of electrowetting and the increase or decrease of voltage was tested through an experimental platform. Then, combined with the change of the aperture ratio, the reasonable grayscale allocation is made for color space conversion. Furthermore, considering the average grayscales of each color, we design a method of the dynamic contrast enhancement and histogram equalization based on the segmentation of aperture ratios. In addition, in view of the problem of grayscale loss in the reflective display, we propose an adaptive algorithm of domain error diffusion with saturation enhancement to compensate for color loss. The experiments demonstrate that the images processed by our algorithm have shown certain improvements in evaluation indicators compared to images processed by other methods. Most significant of all, it has better visual display effect on chromatic electrowetting electronic paper, displaying more details. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/10375378/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2023.3347892 |
| Access URL: |
https://doaj.org/article/42058697f46141ecae5708876ab35f9b |
| Accession Number: |
edsdoj.42058697f46141ecae5708876ab35f9b |
| Database: |
Directory of Open Access Journals |
