IEICE TRANSACTIONS on Fundamentals
Brightness Preserving Generalized Histogram Equalization with High Contrast Enhancement Ability
Summary :
Histogram equalization (HE) is the one of the simplest and most effective methods for contrast enhancement. It can automatically define the gray-level mapping function based on the distribution of gray-level included in the image. However, since HE does not use a spatial feature included in the input image, HE fails to produce satisfactory results for broad range of low-contrast images. The differential gray-level histogram (DH), which is contained edge information of the input image, was defined and the differential gray-level histogram equalization (DHE) has been proposed. The DHE shows better enhancement results compared to HE for many kinds of images. In this paper, we propose a generalized histogram equalization (GHE) including HE and DHE. In GHE, the histogram is created using the power of the differential gray-level, which includes the spatial features of the image. In HE, the mean brightness of the enhancement image cannot be controlled. On the other hand, GHE can control the mean brightness of the enhancement image by changing the power, thus, the mean brightness of the input image can be perfectly preserved while maintaining good contrast enhancement.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.3 pp.471-480
- Publication Date
- 2023/03/01
- Publicized
- 2022/10/11
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2022SMP0002
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
Authors
Hideaki TANAKA
Tokyo City University
Akira TAGUCHI
Tokyo City University
Keyword
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Hideaki TANAKA, Akira TAGUCHI, "Brightness Preserving Generalized Histogram Equalization with High Contrast Enhancement Ability" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 3, pp. 471-480, March 2023, doi: 10.1587/transfun.2022SMP0002.
Abstract: Histogram equalization (HE) is the one of the simplest and most effective methods for contrast enhancement. It can automatically define the gray-level mapping function based on the distribution of gray-level included in the image. However, since HE does not use a spatial feature included in the input image, HE fails to produce satisfactory results for broad range of low-contrast images. The differential gray-level histogram (DH), which is contained edge information of the input image, was defined and the differential gray-level histogram equalization (DHE) has been proposed. The DHE shows better enhancement results compared to HE for many kinds of images. In this paper, we propose a generalized histogram equalization (GHE) including HE and DHE. In GHE, the histogram is created using the power of the differential gray-level, which includes the spatial features of the image. In HE, the mean brightness of the enhancement image cannot be controlled. On the other hand, GHE can control the mean brightness of the enhancement image by changing the power, thus, the mean brightness of the input image can be perfectly preserved while maintaining good contrast enhancement.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022SMP0002/_p
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@ARTICLE{e106-a_3_471,
author={Hideaki TANAKA, Akira TAGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Brightness Preserving Generalized Histogram Equalization with High Contrast Enhancement Ability},
year={2023},
volume={E106-A},
number={3},
pages={471-480},
abstract={Histogram equalization (HE) is the one of the simplest and most effective methods for contrast enhancement. It can automatically define the gray-level mapping function based on the distribution of gray-level included in the image. However, since HE does not use a spatial feature included in the input image, HE fails to produce satisfactory results for broad range of low-contrast images. The differential gray-level histogram (DH), which is contained edge information of the input image, was defined and the differential gray-level histogram equalization (DHE) has been proposed. The DHE shows better enhancement results compared to HE for many kinds of images. In this paper, we propose a generalized histogram equalization (GHE) including HE and DHE. In GHE, the histogram is created using the power of the differential gray-level, which includes the spatial features of the image. In HE, the mean brightness of the enhancement image cannot be controlled. On the other hand, GHE can control the mean brightness of the enhancement image by changing the power, thus, the mean brightness of the input image can be perfectly preserved while maintaining good contrast enhancement.},
keywords={},
doi={10.1587/transfun.2022SMP0002},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Brightness Preserving Generalized Histogram Equalization with High Contrast Enhancement Ability
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 471
EP - 480
AU - Hideaki TANAKA
AU - Akira TAGUCHI
PY - 2023
DO - 10.1587/transfun.2022SMP0002
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2023
AB - Histogram equalization (HE) is the one of the simplest and most effective methods for contrast enhancement. It can automatically define the gray-level mapping function based on the distribution of gray-level included in the image. However, since HE does not use a spatial feature included in the input image, HE fails to produce satisfactory results for broad range of low-contrast images. The differential gray-level histogram (DH), which is contained edge information of the input image, was defined and the differential gray-level histogram equalization (DHE) has been proposed. The DHE shows better enhancement results compared to HE for many kinds of images. In this paper, we propose a generalized histogram equalization (GHE) including HE and DHE. In GHE, the histogram is created using the power of the differential gray-level, which includes the spatial features of the image. In HE, the mean brightness of the enhancement image cannot be controlled. On the other hand, GHE can control the mean brightness of the enhancement image by changing the power, thus, the mean brightness of the input image can be perfectly preserved while maintaining good contrast enhancement.
ER -
English
