Article
Computer Science, Information Systems
Abul Hasnat, Dibyendu Barman, Bandana Barman
Summary: A hybrid vector quantization compression method is proposed in this study to retain more image information by applying four-level quantization to the luminance channel, while compressing the chrominance channel using conventional vector quantization. The experimental results show that the proposed method significantly improves the quality of the compressed images and reduces storage space requirements.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Jian Wang, Xinpei Wu, Heming Xu, Junseok Kim
Summary: In this paper, an image inpainting algorithm based on the modified Gray-Scott (GS) model is proposed, with a fidelity term added to control the edge and stability of pixel value evolution during the process. The effectiveness and robustness of the proposed model are verified through experiments, showing its efficacy in restoring damaged images with Gaussian noise and locally missing pixels.
Article
Computer Science, Artificial Intelligence
Sivasubramanian Mookiah, Kumar Parasuraman, S. Kumar Chandar
Summary: This paper presents an enhanced sine cosine algorithm (ESCA) for color image segmentation. By transforming the input image to CIE L*a*b* color reduced space, ESCA efficiently determines the optimal threshold values for segmentation. Experimental results show that ESCA outperforms other methods like particle swarm optimization (PSO) and standard SCA in terms of peak signal-noise ratio (PSNR) and structural similarity index (SSIM), while requiring less time for finding optimal threshold values.
Review
Chemistry, Multidisciplinary
Xiaoyang Yue, Jiajie Fan, Quanjun Xiang
Summary: This critical review focuses on the importance of internal electric field (IEF) in energy-related applications and modulation strategies, as well as its role in charge separation and utilization. The article also summarizes the state-of-the-art characterization means for IEF and provides perspectives on the future development of IEF design.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Computer Science, Information Systems
Djamel Eddine Touil, Nadjiba Terki
Summary: This paper proposes an efficient color image compression method based on DCT and a new color base, which optimizes color space and thresholds to enhance the performance of compressing RGB images.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Asia Othman Aljahdali, Omnia Abdullah Al-Harbi
Summary: With the advancements in information and communication technologies, ensuring information security has become increasingly challenging. Data security is crucial due to the need for exchanging private information and the open nature of networks. Steganography, the practice of hiding data within a cover object to prevent suspicion, is an effective method for achieving secrecy. Combining two steganography methods, known as multilevel steganography, improves the level of security by hiding sensitive data in two cover objects.
PEERJ COMPUTER SCIENCE
(2023)
Article
Geochemistry & Geophysics
Jingchun Zhou, Boshen Li, Dehuan Zhang, Jieyu Yuan, Weishi Zhang, Zhanchuan Cai, Jinyu Shi
Summary: We propose an efficient and fully guided information flow network (UGIF-Net) for enhancing underwater images, which overcomes limitations in color recovery accuracy and resilience against irrelevant feature interference.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Ilija Domislovic, Donik Vrsnak, Marko Subasic, Sven Loncaric
Summary: In this paper, a new large-scale publicly available color constancy dataset called Shadows & Lumination dataset is introduced. The dataset consists of 2500 minimally processed images from various indoor, outdoor, and night-time scenes. Unlike other datasets, it includes real-world images with two illuminants for multi-illuminant estimation, along with binary segmentation masks dividing the image into regions illuminated by each illuminant. The paper also benchmarks illumination estimation methods and image segmentation methods using the dataset.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Dipti Watni, Sonal Chawla
Summary: This research analyzes the behavior and impact of image steganography under different image formats on Android smartphones, and proposes corresponding algorithms and metrics for evaluation.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Jingchun Zhou, Tongyu Yang, Weishen Chu, Weishi Zhang
Summary: This paper proposes a restoration method based on backscatter pixel prior and color cast removal for underwater images. Experimental results show that the proposed method improves the contrast and removes color deviation caused by light absorption.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Information Systems
De Rosal Igantius Moses Setiadi
Summary: PSNR and SSIM are widely used measuring tools in image quality assessment, with PSNR used earlier and SSIM designed based on human visual system factors. Research findings show that LSB performs best based on PSNR, while PVD performs best based on SSIM. The study concludes that SSIM is a better measure of imperceptibility in all aspects and should be preferred in future steganographic research.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma
Summary: This article emphasizes the importance of measuring perceptual color differences (CDs) in modern smartphone photography. By constructing the largest image dataset and using a lightweight neural network, an end-to-end learnable CD formula is created, which outperforms 33 existing CD measures and has practical significance for large-scale perceptual CD assessment.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Xiaoyu Zhou, Wien Hong, Guangsong Yang, Tung-Shou Chen, Jeanne Chen
Summary: This paper presents an advanced grayscale-invariant authentication method for color images that modifies the most significant bits of the red and blue channels to generate authentication codes with minimal distortion. By adjusting the green channel and utilizing pixel substitution and constraint-reduced strategies, this method effectively reduces image distortion and improves detection results.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Xiuli Chai, Haiyang Wu, Zhihua Gan, Daojun Han, Yushu Zhang, Yiran Chen
Summary: A novel double color image encryption algorithm combining 2D compressive sensing with an embedding technique is proposed in this paper, achieving compression and encryption simultaneously and obtaining visually meaningful cipher images. Confusion of the compressed cipher images is done by index sequences generated from a 6D hyperchaotic system, while the relationship of the algorithm with plain images is enhanced by embedding feature parameters into the carrier image.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Mujtaba Ghous, Ahmed Khan
Summary: This paper proposes a technique for contrast enhancement of both color and grayscale images. The technique calculates the statistics and phase congruency of the image and uses optimal histogram and histogram equalization methods for enhancement. The importance of the proposed model is demonstrated through subjective and quantitative analysis of contrast-enhanced images.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Software Engineering
R. SenthamilSelvan, R. S. D. Wahidabanu, B. Karthik
Summary: The vehicle ad hoc network (VANET) has made significant developments in road safety by using flooding approaches and GPS technology to provide location data and safety warnings. The proposed solution utilizes on-board units and roadside units for communication, and incorporates the Wide Area Augmentation System (WAAS) to improve localization accuracy.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Engineering, Electrical & Electronic
T. Vijayan, M. Sangeetha, A. Kumaravel, B. Karthik
Summary: The use of machine learning algorithms improves the accuracy of diagnosing diabetic retinopathy from retinal fundus images, with the k-Nearest Neighbor (KNN) classifier performing the best.
IETE JOURNAL OF RESEARCH
(2023)
Article
Mechanics
M. Sriram, S. P. Vijayaragavan, B. Karthik, I Vetrivel
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
Article
Mechanics
S. P. Vijayaragavan, K. R. Mohan Kumar, B. Karthik
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
Article
Mechanics
S. P. Vijayaragavan, Anitha Sampathkumar, B. Karthik
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
Article
Mechanics
G. Karthik, M. Sangeetha, B. Karthik, M. Sriram
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
Article
Mechanics
Sidharth R. S. Raj, B. Karthik, M. Sundararajan, S. P. Vijayaragavan
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
Article
Mechanics
Anitha Sampthkumar, S. Prakash, S. P. Vijayaragavan
JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
(2019)
