IEICE TRANSACTIONS on Fundamentals
Low-Light Image Enhancement Method Using a Modified Gamma Transform and Gamma Filtering-Based Histogram Specification for Convex Combination Coefficients
Summary :
Recently, a lot of low-light image enhancement methods have been proposed. However, these methods have some problems such as causing fine details lost in bright regions and/or unnatural color tones. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, a pixel is represented by a convex combination of white, black, and pure color. Then, an equi-hue plane in RGB color space is represented as a triangle whose vertices correspond to white, black, and pure color. The visibility of low-light image is improved by applying a modified gamma transform to the combination coefficients on an equi-hue plane in RGB color space. The contrast of the image is enhanced by the histogram specification method using the histogram smoothed by a filter with a kernel determined based on a gamma distribution. In the experiments, the effectiveness of the proposed method is verified by the comparison with the state-of-the-art low-light image enhancement methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.11 pp.1385-1394
- Publication Date
- 2023/11/01
- Publicized
- 2023/04/21
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2023SMP0003
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Image
Authors
Mashiho MUKAIDA
Yamaguchi University
Yoshiaki UEDA
Fukuoka University
Noriaki SUETAKE
Yamaguchi University
Keyword
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Mashiho MUKAIDA, Yoshiaki UEDA, Noriaki SUETAKE, "Low-Light Image Enhancement Method Using a Modified Gamma Transform and Gamma Filtering-Based Histogram Specification for Convex Combination Coefficients" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 11, pp. 1385-1394, November 2023, doi: 10.1587/transfun.2023SMP0003.
Abstract: Recently, a lot of low-light image enhancement methods have been proposed. However, these methods have some problems such as causing fine details lost in bright regions and/or unnatural color tones. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, a pixel is represented by a convex combination of white, black, and pure color. Then, an equi-hue plane in RGB color space is represented as a triangle whose vertices correspond to white, black, and pure color. The visibility of low-light image is improved by applying a modified gamma transform to the combination coefficients on an equi-hue plane in RGB color space. The contrast of the image is enhanced by the histogram specification method using the histogram smoothed by a filter with a kernel determined based on a gamma distribution. In the experiments, the effectiveness of the proposed method is verified by the comparison with the state-of-the-art low-light image enhancement methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2023SMP0003/_p
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@ARTICLE{e106-a_11_1385,
author={Mashiho MUKAIDA, Yoshiaki UEDA, Noriaki SUETAKE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Low-Light Image Enhancement Method Using a Modified Gamma Transform and Gamma Filtering-Based Histogram Specification for Convex Combination Coefficients},
year={2023},
volume={E106-A},
number={11},
pages={1385-1394},
abstract={Recently, a lot of low-light image enhancement methods have been proposed. However, these methods have some problems such as causing fine details lost in bright regions and/or unnatural color tones. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, a pixel is represented by a convex combination of white, black, and pure color. Then, an equi-hue plane in RGB color space is represented as a triangle whose vertices correspond to white, black, and pure color. The visibility of low-light image is improved by applying a modified gamma transform to the combination coefficients on an equi-hue plane in RGB color space. The contrast of the image is enhanced by the histogram specification method using the histogram smoothed by a filter with a kernel determined based on a gamma distribution. In the experiments, the effectiveness of the proposed method is verified by the comparison with the state-of-the-art low-light image enhancement methods.},
keywords={},
doi={10.1587/transfun.2023SMP0003},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Low-Light Image Enhancement Method Using a Modified Gamma Transform and Gamma Filtering-Based Histogram Specification for Convex Combination Coefficients
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1385
EP - 1394
AU - Mashiho MUKAIDA
AU - Yoshiaki UEDA
AU - Noriaki SUETAKE
PY - 2023
DO - 10.1587/transfun.2023SMP0003
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2023
AB - Recently, a lot of low-light image enhancement methods have been proposed. However, these methods have some problems such as causing fine details lost in bright regions and/or unnatural color tones. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, a pixel is represented by a convex combination of white, black, and pure color. Then, an equi-hue plane in RGB color space is represented as a triangle whose vertices correspond to white, black, and pure color. The visibility of low-light image is improved by applying a modified gamma transform to the combination coefficients on an equi-hue plane in RGB color space. The contrast of the image is enhanced by the histogram specification method using the histogram smoothed by a filter with a kernel determined based on a gamma distribution. In the experiments, the effectiveness of the proposed method is verified by the comparison with the state-of-the-art low-light image enhancement methods.
ER -
English
