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
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
Engineering, Electrical & Electronic
Weidong Zhang, Lili Dong, Tong Zhang, Wenhai Xu
Summary: This paper proposes a novel method for improving the quality of underwater images, involving color correction, decomposing lowand high-frequency components, Bi-interval histogram contrast enhancement, as well as multi-scale fusion. Experimental results demonstrate that the proposed method outputs high-quality underwater images with well qualitative and quantitative evaluation.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2021)
Article
Computer Science, Artificial Intelligence
Jong Ju Jeon, Jun Young Park, Il Kyu Eom
Summary: In this paper, an efficient and fast low-light image enhancement method is proposed using an atmospheric scattering model based on an inverted low-light image. The transmission map is derived as a function of the average and maximum values of the original image, and a pixel-adaptive gamma value determination algorithm is used to prevent under- or over-enhancement. The proposed method is computationally simple and outperforms existing approaches in terms of enhancement efficiency.
PATTERN RECOGNITION
(2024)
Article
Computer Science, Artificial Intelligence
Md Tauhid Bin Iqbal, M. Abdullah-Al-Wadud, Byungyong Ryu, Farkhod Makhmudkhujaev, Oksam Chae
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2020)
Article
Physics, Multidisciplinary
M. R. C. Mahdy, Hamim Mahmud Rivy, Ziaur Rahman Jony, Nabila Binte Alam, Nabila Masud, Golam Dastegir Al Quaderi, Ibraheem Muhammad Moosa, Chowdhury Mofizur Rahman, M. Sohel Rahman
Article
Physics, Multidisciplinary
Reaz Chowdhury, M. R. C. Mahdy, Tanisha Nourin Alam, Golam Dastegir Al Quaderi, M. Arifur Rahman
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2020)
Article
Mathematics
Muhammad K. Shahzad, S. M. Riazul Islam, Mahmud Hossain, Mohammad Abdullah-Al-Wadud, Atif Alamri, Mehdi Hussain
Summary: This paper proposes a network re-clustering scheme based on genetic algorithm and fuzzy logic to minimize the impact of hot-spot problem and extend network lifetime. By optimizing fuzzy membership functions and determining the appropriate timing for next re-clustering, significant network lifetime extension can be achieved.
Article
Materials Science, Multidisciplinary
Tallha Akram, S. M. Riazul Islam, Syed Rameez Naqvi, Khursheed Aurangzeb, M. Abdullah-Al-Wadud, Atif Alamri
Summary: The resistance versus temperature characteristics of superconducting films have been studied for decades and have recently gained increased attention due to the electromagnetic metamaterial strategy. A framework using artificial neural networks to approximate resistance-temperature curves was proposed, and a detailed comparison of the accuracy of different architectures was carried out. The study demonstrated that the mean-squared error between the approximated and physically measured curves is negligible, allowing for the extrapolation of these curves over a wide range of parameters using the proposed framework.
RESULTS IN PHYSICS
(2021)
Article
Computer Science, Theory & Methods
Lewis Nkenyereye, S. M. Riazul Islam, Muhammad Bilal, M. Abdullah-Al-Wadud, Atif Alamri, Anand Nayyar
Summary: The paper introduces a secure and privacy-preserving crowd-sensing scheme for fog-enabled vehicular computing, utilizing a double layer of fog nodes and ciphertext-policy attribute-based encryption. Data confidentiality and fine-grained access control are ensured in this proposed architecture.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Optics
Rafsan Jani, Saikat Chandra Das, Fatematuz Zahura, Haniful Islam, Golam Dastegir Al-Quaderi, M. R. C. Mahdy
Summary: This study introduces a novel method of optical manipulation, demonstrating the control and reversal of the near-field optical binding force among octamers using a TM polarized Bessel beam, without the need for any background or substrate assistance. This approach has the potential to open up new ways of manipulating multiple particles.
Article
Computer Science, Information Systems
John Zaki, S. M. Riazul Islam, Norah Saleh Alghamdi, M. Abdullah-Al-Wadud, Kyung-Sup Kwak
Summary: The development of healthcare applications is considered complex and time-consuming. Traditional approaches such as monolithic and service-oriented architecture (SOA) generate problems in service availability, remote access, provisioning, scalability, and integration with other healthcare systems. This paper proposes a microservices framework using cloud computing infrastructure to address these issues. The approach improves efficiency, scalability, and performance, and contributes to system design and analysis in healthcare application development.
Article
Computer Science, Information Systems
Lewis Nkenyereye, S. M. Riazul Islam, Mahmud Hossain, M. Abdullah-Al-Wadud, Atif Alamri
Summary: The rapid development of personal health records (PHR) systems has led to the need for a secure and fog-assisted framework within a ubiquitous smart city environment to address security, access control, and privacy concerns. This framework utilizes efficient key exchange protocols and ciphertext attribute-based encryption (CP-ABE) to ensure confidentiality and fine-grained access control within the system, while also employing digital signatures combined with CP-ABE for system authentication and user privacy. Analysis of the proposed framework is provided in terms of security and performance.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Mathematical & Computational Biology
Rafsanjany Kushol, Md. Hasanul Kabir, M. Abdullah-Al-Wadud, Md Saiful Islam
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2020)
Article
Mathematics
Madhab Raj Joshi, Lewis Nkenyereye, Gyanendra Prasad Joshi, S. M. Riazul Islam, Mohammad Abdullah-Al-Wadud, Surendra Shrestha
Article
Chemistry, Applied
Amrita Khan, Golam Dastegir Al-Quaderi, Mahabub Alam Bhuiyan, Kazi Hanium Maria, Shamima Choudhury, K. M. Amjad Hossain, Dilip Kumar Saha, Shirin Akhter
BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY
(2020)
Article
Multidisciplinary Sciences
Rakib Ul Haque, M. F. Mridha, Md. Abdul Hamid, M. Abdullah-Al-Wadud, Md. Saiful Islam
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2020)
Article
Computer Science, Information Systems
M. F. Mridha, Md Anwar Hussen Wadud, Md Abdul Hamid, Muhammad Mostafa Monowar, M. Abdullah-Al-Wadud, Atif Alamri
Summary: The significant increase in Internet activity during the COVID-19 epidemic has led to the widespread use of offensive Bengali and Banglish texts on social media. Limited efforts have been made to identify and classify these offensive texts. This study introduces L-Boost, a detection mechanism utilizing a modified AdaBoost algorithm with LSTM models, which effectively identifies offensive messages, achieving an accuracy of 95.11%.
Article
Computer Science, Information Systems
Lionel Nkenyereye, Lewis Nkenyereye, S. M. Riazul Islam, Chaker Abdelaziz Kerrache, M. Abdullah-Al-Wadud, Atif Alamri
