IEICE TRANSACTIONS on Information
Gaussian Kernel-Based Multi-Histogram Equalization
Summary :
Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.5 pp.1313-1316
- Publication Date
- 2010/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.1313
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Suk Tae SEO, In Keun LEE, Hye Cheun JEONG, Soon Hak KWON, "Gaussian Kernel-Based Multi-Histogram Equalization" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 5, pp. 1313-1316, May 2010, doi: 10.1587/transinf.E93.D.1313.
Abstract: Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1313/_p
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@ARTICLE{e93-d_5_1313,
author={Suk Tae SEO, In Keun LEE, Hye Cheun JEONG, Soon Hak KWON, },
journal={IEICE TRANSACTIONS on Information},
title={Gaussian Kernel-Based Multi-Histogram Equalization},
year={2010},
volume={E93-D},
number={5},
pages={1313-1316},
abstract={Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.},
keywords={},
doi={10.1587/transinf.E93.D.1313},
ISSN={1745-1361},
month={May},}
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TY - JOUR
TI - Gaussian Kernel-Based Multi-Histogram Equalization
T2 - IEICE TRANSACTIONS on Information
SP - 1313
EP - 1316
AU - Suk Tae SEO
AU - In Keun LEE
AU - Hye Cheun JEONG
AU - Soon Hak KWON
PY - 2010
DO - 10.1587/transinf.E93.D.1313
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2010
AB - Histogram equalization is the most popular method for image enhancement. However it has some drawbacks: i) it causes undesirable artifacts and ii) it can degrade the visual quality. To overcome the drawbacks, in this letter, multi-histogram equalization on smoothed histogram using a Gaussian kernel is proposed. To demonstrate the effectiveness, the method is tested on several images and compared with conventional methods.
ER -
English
