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An effective underwater image enhancement method based on CLAHE-HF
Open accessAbstract
In order to solve the problem that the unbalanced illumination and noise induce poor contrast, uneven brightness and poor clarity to underwater image, an effective underwater image enhancement method based on spatial and frequency domain is proposed in this paper. Firstly, Contrast Limited Adaptive Histogram Equalization technology is used in spatial domain to enhance the local contrast of different regions of the image according to the distribution of pixel values of each region, which can not only ensure the image texture clarity and detail characteristics, but also suppress the noise. Secondly, Homomorphic Filtering technology is used to enhance the image details and reduce the noise in the image in frequency domain. Two sets of image data that verify the effectiveness of the proposed method were provided. The experimental results show that, compared with the traditional underwater image enhancement methods, the peak signal-to-noise ratio (PSNR), mean square error (MSE) and information entropy of the proposed method are combined optimal.
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“However, these algorithms do not consider the spatial variance of the degradation over the field of view [3,4,5,6].”
From Underwater Optical-Sonar Image Fusion Systems (2022) · cites this paper as [6]
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Research works printed but not linked: 8
- Hou, 2012, Optical turbulence on underwater image degradation in natural environments[J], Applied Optics, 51, 2678, 10.1364/AO.51.002678 · DOI
- Zhen, 2007, The caculation of shear slippage of light-weight aggregate concrete composite floor slabs[J], Industrial Construction, 37, 579
- Li, 2017, Underwater image enhancement based on improved dark priori and color correction[J], Journal of Optics, 37, 1211003
- Singh, 2015, Enhancement of low exposure images via recursive histogram equalization algorithms[J], OPTIK-International Journal for Light and Electron Optics, 126, 2619, 10.1016/j.ijleo.2015.06.060 · DOI
- Zhang, 2017, Underwater image enhancement via extended multi-scale Retinex[J], Neurocomputing, 245, 1, 10.1016/j.neucom.2017.03.029 · DOI
- Yu, 2017, Colour underwater image sharpening algorithm based on Tetrolet transform[J], Journal of Optics, 37, 0910002
- Reza, 2004, Realization of the Contrast Limited Adaptive Histogram Equalization for Real-Time Image Enhancement[J], Journal of Vlsi Signal Processing Systems for Signal Image & Video Technology, 38, 35, 10.1023/B:VLSI.0000028532.53893.82 · DOI
- Adelmann, 1998, Butterworth equations for homomorphic filtering of images[J], Computers in Biology & Medicine, 28, 169, 10.1016/S0010-4825(98)00004-3 · DOI
Cited by
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Underwater Optical-Sonar Image Fusion Systems
Kim, H.-G., Seo, J., & Kim, S. M. (2022) · Sensors · doi:10.3390/s22218445 · Cited by 29
“CLAHE-HF [6] Enhance contrast of underwater images by CLAHE, and reduce noise by homomorphic filtering (HF)”
Metadata
- Authors
- Luo, M., Fang, Y., & Ge, Y.
- Affiliations
- Xi'an Shiyou University (CN)
- Corresponding author
- Luo, Mingshi
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2019-06-01
- Volume
- 1237
- Issue
- 3
- Pages
- 032009
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W2961400021
- Cited by
- 11
- References
- 0
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 2
- FWCI
- 0.41
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Engineering › Ocean Engineering › Underwater Vehicles and Communication Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Keywords
- underwater image enhancement, CLAHE, homomorphic filtering, illumination inhomogeneity, noise reduction, local contrast enhancement, image quality assessment
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- Luo, M., Fang, Y., & Ge, Y. (2019). An effective underwater image enhancement method based on CLAHE-HF. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1237/3/032009
