Hassan, Mohd. Fikree and Adam, Tarmizi and Paramesran, Raveendran (2023) Lightness enhancement method for low illumination night-time image. In: 1st International Conference on Computational Science and Data Analytics, COMDATA 2021, Incorporating the 1st South-East Asia Workshop on Computational Physics and Data Analytics, CPDAS 2021, 21 November 2021 - 24 November 2021, Kuala Lumpur, Malaysia - Hybrid.
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Official URL: http://dx.doi.org/10.1063/5.0140248
Abstract
Computer vision applications under low illumination, such as night-time images, possess a difficult challenge. Night-time images suffer from the loss of visibility due to inadequate illumination, which affects the performance of outdoor computer vision systems. Thus, to improve the reliability of the outdoor computer vision systems during night-time, it is essential to enhance low illumination night-time images. In this paper, we propose a lightness enhancement method that removes the night-time color cast. The proposed method compensates for the red, green, and blue color channels of the night-time image by adding a fraction of each channel to itself. Then, it averages out the compensated color channel values with the compensated mean values. It effectively removes the night-time color cast and increases the image visibility. Experiments are conducted to evaluate the effectiveness of the proposed method, and the results are compared with two night-time image enhancement methods using objective and subjective evaluations. The results show that the proposed method produced enhanced images with better image visibility than the other two methods.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Image processing, Artificial intelligence. |
Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management information systems |
Divisions: | Computing |
ID Code: | 107498 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 23 Sep 2024 03:15 |
Last Modified: | 23 Sep 2024 03:15 |
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