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
최근에는 저조도 영상 향상 방법이 많이 제안되고 있다. 그러나 이러한 방법에는 밝은 부분에서 미세한 디테일이 손실되거나 부자연스러운 색조가 발생하는 등의 문제가 있습니다. 본 논문에서는 이러한 문제에 대처하기 위한 새로운 저조도 영상 향상 방법을 제안한다. 제안하는 방법에서는 흰색, 검정색, 순색의 볼록한 조합으로 픽셀을 표현한다. 그런 다음 RGB 색상 공간의 동일 색상 평면은 정점이 흰색, 검정색 및 순색에 해당하는 삼각형으로 표현됩니다. RGB 색 공간의 동일 색상 평면의 조합 계수에 수정된 감마 변환을 적용하여 저조도 이미지의 가시성을 향상시킵니다. 감마 분포에 따라 결정된 커널을 사용하여 필터로 평활화된 히스토그램을 사용하는 히스토그램 지정 방법으로 이미지의 대비가 향상됩니다. 실험에서는 제안한 방법의 유효성을 최신 저조도 영상 향상 방법과 비교하여 검증하였다.
Mashiho MUKAIDA
Yamaguchi University
Yoshiaki UEDA
Fukuoka University
Noriaki SUETAKE
Yamaguchi University
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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
부
@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},}
부
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 -