@article{ART003076577},
author={Li Yuan and Min, Byung-Won},
title={Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2024},
volume={10},
number={2},
pages={51-60}
TY - JOUR
AU - Li Yuan
AU - Min, Byung-Won
TI - Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception
JO - Journal of Internet of Things and Convergence
PY - 2024
VL - 10
IS - 2
PB - The Korea Internet of Things Society
SP - 51
EP - 60
SN - 2466-0078
AB - Aiming at the problem of low contrast and difficult to recognize video images in low-light environment, we propose an adaptive contrast compensation enhancement algorithm based on human visual perception. First of all, the video image characteristic factors in low-light environment are extracted: AL (average luminance), ABWF (average bandwidth factor), and the mathematical model of human visual CRC(contrast resolution compensation) is established according to the difference of the original image's grayscale/chromaticity level, and the proportion of the three primary colors of the true color is compensated by the integral, respectively. Then, when the degree of compensation is lower than the bright vision precisely distinguishable difference, the compensation threshold is set to linearly compensate the bright vision to the full bandwidth. Finally, the automatic optimization model of the compensation ratio coefficient is established by combining the subjective image quality evaluation and the image characteristic factor. The experimental test results show that the video image adaptive enhancement algorithm has good enhancement effect, good real-time performance, can effectively mine the dark vision information, and can be widely used in different scenes.
KW - visual perception;low-light;video images;contrast resolution;adaptive enhancement.
DO -
UR -
ER -
Li Yuan and Min, Byung-Won. (2024). Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception. Journal of Internet of Things and Convergence, 10(2), 51-60.
Li Yuan and Min, Byung-Won. 2024, "Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception", Journal of Internet of Things and Convergence, vol.10, no.2 pp.51-60.
Li Yuan, Min, Byung-Won "Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception" Journal of Internet of Things and Convergence 10.2 pp.51-60 (2024) : 51.
Li Yuan, Min, Byung-Won. Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception. 2024; 10(2), 51-60.
Li Yuan and Min, Byung-Won. "Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception" Journal of Internet of Things and Convergence 10, no.2 (2024) : 51-60.
Li Yuan; Min, Byung-Won. Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception. Journal of Internet of Things and Convergence, 10(2), 51-60.
Li Yuan; Min, Byung-Won. Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception. Journal of Internet of Things and Convergence. 2024; 10(2) 51-60.
Li Yuan, Min, Byung-Won. Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception. 2024; 10(2), 51-60.
Li Yuan and Min, Byung-Won. "Adaptive Enhancement of Low-light Video Images Algorithm Based on Visual Perception" Journal of Internet of Things and Convergence 10, no.2 (2024) : 51-60.
