The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Baru-baru ini, banyak kaedah peningkatan imej cahaya rendah telah dicadangkan. Walau bagaimanapun, kaedah ini mempunyai beberapa masalah seperti menyebabkan butiran halus hilang di kawasan terang dan/atau ton warna yang tidak semula jadi. Dalam kertas ini, kami mencadangkan kaedah peningkatan imej cahaya malap baharu untuk mengatasi masalah ini. Dalam kaedah yang dicadangkan, piksel diwakili oleh gabungan cembung warna putih, hitam dan tulen. Kemudian, satah equi-hue dalam ruang warna RGB diwakili sebagai segi tiga yang bucunya sepadan dengan warna putih, hitam dan tulen. Keterlihatan imej cahaya malap dipertingkatkan dengan menggunakan perubahan gamma yang diubah suai kepada pekali gabungan pada satah equi-hue dalam ruang warna RGB. Kontras imej dipertingkatkan dengan kaedah spesifikasi histogram menggunakan histogram yang dilicinkan oleh penapis dengan kernel ditentukan berdasarkan taburan gamma. Dalam eksperimen, keberkesanan kaedah yang dicadangkan disahkan dengan perbandingan dengan kaedah peningkatan imej cahaya malap terkini.
Mashiho MUKAIDA
Yamaguchi University
Yoshiaki UEDA
Fukuoka University
Noriaki SUETAKE
Yamaguchi University
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Salinan
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
Salinan
@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},}
Salinan
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 -