Article
Computer Science, Information Systems
Magudeeswaran Veluchamy, Bharath Subramani
Summary: This paper proposes an artificial bee colony optimization based weighted gamma correction method to improve the visual quality of contrast distorted images by expanding and compressing pixel values.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Environmental Sciences
Weihong Zhang, Xiaobo Li, Shuping Xu, Xujin Li, Yiguang Yang, Degang Xu, Tiegen Liu, Haofeng Hu
Summary: This paper introduces an underwater color image processing approach that effectively enhances contrast and colors in underwater images by combining frequency and spatial domains. The method addresses challenges such as low contrast, color distortion, and obscured details in underwater images. Experimental results show that the proposed method outperforms other methods in terms of enhancing contrast and rendering natural colors.
Article
Computer Science, Information Systems
Inho Jeong, Chul Lee
Summary: The algorithm proposed an efficient low-light image enhancement by estimating gamma correction parameters through optimization, separating luminance and chrominance channels, normalizing the luminance channel with a logarithmic function, independently estimating optimal gamma parameters for dark and bright regions, and merging them for enhanced image. This approach demonstrates higher enhancement performance and speed improvement compared to state-of-the-art algorithms in both subjective and objective evaluations.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Songlin Jin, Peixin Qu, Ying Zheng, Wenyi Zhao, Weidong Zhang
Summary: This method proposes a novel approach to address the quality degradation issues in underwater images by implementing color correction, detail sharpening, and contrast enhancement in stages. It effectively improves the clarity and color accuracy of underwater images.
Article
Computer Science, Hardware & Architecture
Weidong Zhang, Xipeng Pan, Xiwang Xie, Lingqiao Li, Zimin Wang, Chu Han
Summary: This paper proposes an algorithm for color correction and adaptive contrast enhancement of underwater images, which compensates for lower color channels with dedicated fractions and applies an adaptive contrast enhancement algorithm and unsharp masking technique, achieving high-quality image enhancement.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Debapriya Sengupta, Arindam Biswas, Phalguni Gupta
Summary: This study introduces an image enhancement algorithm that can handle images at classification boundaries, showing promising results in experiments with increased entropy and root mean square values, as well as noticeable visual improvement over the AGC algorithm.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li
Summary: In this letter, a method is proposed to address the degradation issues of underwater captured images. It uses piecewise color correction and dual prior optimized contrast enhancement. The method corrects the color cast of each color channel and enhances the contrast and texture detail of underwater images by decomposing the base layer and detail layer in HSV color space. Experimental results show that the method outperforms eleven state-of-the-art methods and has good generalization capability for fog and low-light images.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Optics
Yiming Li, Daoyu Li, Zhijie Gao, Shuai Wang, Qiang Jiao, Liheng Bian
Summary: This study proposes an adaptive underwater image enhancement technique that corrects image color and reduces haze using a valid dataset with ground truth. The method achieves superior performance compared to state-of-the-art methods for underwater image processing.
OPTICS AND LASER TECHNOLOGY
(2024)
Article
Engineering, Marine
Farong Gao, Kai Wang, Zhangyi Yang, Yejian Wang, Qizhong Zhang
Summary: The proposed method addresses low contrast and color distortion in underwater images through local contrast correction and multi-scale fusion.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Optics
Weitao Deng, Lei Liu, Huateng Chen, Xiaofeng Bai
Summary: This paper proposes a contrast enhancement method based on adaptive histogram correction and equalization to effectively reduce artifacts and insufficient local detail enhancement caused by traditional methods.
Article
Engineering, Civil
Weidong Zhang, Yudong Wang, Chongyi Li
Summary: This article proposes a method to address the quality degradation issues in underwater images through attenuated color channel correction and detail preserved contrast enhancement. Experimental results demonstrate the effectiveness of the method in enhancing underwater images, as well as low-light images and hazy images.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2022)
Article
Computer Science, Information Systems
Wan Azani Mustafa, Haniza Yazid, Ahmed Alkhayyat, Mohd Aminudin Jamlos, Hasliza A. Rahim, Midhat Nabil Salimi
Summary: Luminosity and contrast variation problems are challenging tasks in image processing, but the Hybrid Statistical Enhancement (HSE) method based on statistical data has proven to be effective in addressing these issues.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Agriculture, Multidisciplinary
Weidong Zhang, Lili Dong, Wenhai Xu
Summary: This paper proposes a novel underwater image enhancement method based on Retinex-inspired color correction and detail preserved fusion technology. The method removes color cast induced by underwater light scattering using a Retinex-inspired color correction strategy, and blends three images to enhance the contrast and detail of the output image. Experimental results demonstrate that the proposed method achieves superior enhancement performance for underwater images of different scenes.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Computer Science, Software Engineering
Qianqian Xue, Hongping Hu, Yanping Bai, Rong Cheng, Peng Wang, Na Song
Summary: This paper presents a stable and effective algorithm for enhancing underwater images by utilizing improved color correction and contrast enhancement techniques, addressing issues such as low contrast, color distortion, and blurred details commonly found in underwater images.
Article
Computer Science, Information Systems
Keunsoo Ko, Chang-Su Kim
Summary: IceNet is a CNN-based interactive contrast enhancement algorithm that allows users to easily adjust image contrast by providing parameters and scribbles. By estimating gamma mapping and color restoration, IceNet generates enhanced images, and users can iteratively provide annotations to achieve satisfactory results.
Article
Computer Science, Hardware & Architecture
Jia Ke, Ying Wang, Mingyue Fan, Xiaojun Chen, Wenlong Zhang, Jianping Gou
Summary: This study integrates the emotional correlation analysis model and Self-organizing Map (SOM) to construct fine-grained user emotion vector based on review text and perform visual cluster analysis, which helps platform merchants quickly mine user clustering and characteristics.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Shi Qiu, Huping Ye, Xiaohan Liao, Benyue Zhang, Miao Zhang, Zimu Zeng
Summary: This paper proposes a multilevel-based algorithm for hyperspectral image interpretation, which achieves semantic segmentation through multidimensional information fusion, and introduces a context interpretation module to improve detection performance.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jianteng Xu, Qingguo Bai, Zhiwen Li, Lili Zhao
Summary: This study constructs two optimization models for the omnichannel closed-loop supply chain by leveraging the combined power of leader-follower game and mean-variance theories. The focus is on analyzing the performance of manufacturers who distribute products through physical stores. The results show that the risk-averse attitude of the physical store has a positive impact on the overall system profitability, but if the introduced physical store belongs to another firm, total profit experiences a decline.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Jiahao Xiong, Weihua Ou, Zhonghua Liu, Jianping Gou, Wenjun Xiao, Haitao Liu
Summary: This paper proposes a novel remote photoplethysmography framework, named GraphPhys, which utilizes graph neural network to extract physiological signals and introduces Average Relative GraphConv for the task of remote physiological signal measurement. Experimental results show that the methods based on GraphPhys significantly outperform the original methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
Article
Computer Science, Hardware & Architecture
Zhiyao Tong, Yiyi Hu, Chi Jiang, Yin Zhang
Summary: The rise of illicit activities involving blockchain digital currencies has become a growing concern. In order to prevent illegal activities, this study combines financial risk control with machine learning to identify and predict the risks of users with poor credit. Experimental results demonstrate high performance in user financial credit analysis.
COMPUTERS & ELECTRICAL ENGINEERING
(2024)
