Image-Based Laser-Beam Diagnostics Using Statistical Analysis and Machine Learning Regression by Tayyab Imran, Muddasir Naeem

“…This study is a comprehensive experimental and computational investigation into high-resolution laser beam diagnostics, combining classical statistical techniques, numerical image processing, and machine learning-based predictive modeling. …”
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Analysis of the Influence of Image Resolution in Traffic Lane Detection Using the CARLA Simulation Environment by Aron Csato, Florin Mariasiu, Gergely Csiki

“…The aim of this study is to show the influence of image resolution in traffic lane detection using a virtual dataset from virtual simulation environment (CARLA) combined with a real dataset (TuSimple), considering four performance parameters: Mean Intersection over Union (mIoU), F1 precision score, Inference time, and processed frames per second (FPS). …”
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A Novel Technique for Secure Data Cryptosystem Based on Chaotic Key Image Generation by Mustafa Dhiaa Al-Hassani

“…Many researchers and institutions realized the importance and benefits of cryptography in achieving the efficiency and effectiveness of various aspects of secure communication.This work adopts a novel technique for secure data cryptosystem based on chaos theory. The proposed algorithm generate 2-Dimensional key matrix having the same dimensions of the original image that includes random numbers obtained from the 1-Dimensional logistic chaotic map for given control parameters, which is then processed by converting the fractional parts of them through a function into a set of non-repeating numbers that leads to a vast number of unpredicted probabilities (the factorial of rows times columns). …”
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MolNexTR: a generalized deep learning model for molecular image recognition by Yufan Chen, Ching Ting Leung, Yong Huang, Jianwei Sun, Hao Chen, Hanyu Gao

“…We further incorporate a series of advanced algorithms, including an improved data augmentation module, an image contamination module, and a post-processing module for getting the final SMILES output. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…Through experiments on various images, we verify the algorithm’s effectiveness in improving encryption strength, reducing information leakage risks, and ensuring data security. …”
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Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

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A secure medical image encryption technique based on DNA cryptography with elliptic curves by V. N. Senthil Kumaran, T. Manikandan, Rajesh Kumar Dhanaraj, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

“…With progress in imaging technologies and biomedical processing algorithms, the amount of image data increases rapidly. …”
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation by K. Radha, Yepuganti Karuna

“…In recent years, deep learning has made significant steps in various fields, including medical image processing. Numerous algorithms have been developed for segmenting retinal vessels in fundus images, demonstrating excellent performance. …”
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A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique by Omar Y. Abdulhammed, Pshtiwan J. Karim, Dashne R. Arif, Twana S. Ali, Avin O. Abdalrahman, Arkan A. Saffer

“…The experimental outcomes appreciated utilizing several image fitness appreciation fashion, it displays best hiding ability, achieve higher image quality with least standard of deformation and provide altitude standard of secrecy, also the results shows that the suggested method exceeds previous approaches in idioms of the PSNSR, MSE also demonstrate that the mystery information cannot be retrieved of the stego image without realizing the algorithms and the values of parameters that are used in hidden process …”
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Infrared image super resolution with structure prior from uncooled infrared readout circuit by Kai Che, Jian Lv, Jia Wei, Jiayuan Gong, Longcheng Que, Yun Zhou

“…Consequently, designing an efficient infrared image Super-Resolution (SR) algorithm is of significant importance. …”
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A robust approach to satellite image encryption using chaotic map and circulant matrices by Shamsa Kanwal, Saba Inam, Asghar Ali Shah, Halima Iqbal, Anas Bilal, Muhammad Usman Hashmi, Raheem Sarwar

“…After preserving the leftmost pixel in each row, it executes XOR operations between alternating rows, combining the value of the current even or odd row with corresponding pixels in the adjacent rows followed by encryption using the Hill cipher. The resulting image undergoes a diffusion process utilizing a hyperbolic tangent tent map. …”
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Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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A Robust joint coverless image steganography scheme based on two independent modules by Chang Ren, Bin Wu

“…The former is difficult to meet actual communication requirements in terms of communication capacity and completeness due to the limit of the algorithm. Due to the irreversibility of the process of generating secret images from message codeword, the recovery accuracy of the latter is very poor. …”
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A Parallel Image Denoising Network Based on Nonparametric Attention and Multiscale Feature Fusion by Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu

“…Finally, the shallow features and deep features were summed using a long jump join and were processed through an ordinary convolutional layer and output to obtain a residual image. …”
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Integrating Depth Measurements From Gaging Stations With Image Archives for Spectrally Based Remote Sensing of River Bathymetry by Carl J. Legleiter, Brandon T. Overstreet, Paul J. Kinzel

“…We developed a processing chain that involves using application programming interfaces to obtain both depth measurements made during site visits and images centered on the gage and then linking depth to reflectance via an optimal band ratio analysis (OBRA) algorithm modified for small sample sizes. …”
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Novel Advance Image Caption Generation Utilizing Vision Transformer and Generative Adversarial Networks by Shourya Tyagi, Olukayode Ayodele Oki, Vineet Verma, Swati Gupta, Meenu Vijarania, Joseph Bamidele Awotunde, Abdulrauph Olanrewaju Babatunde

“…In this paper, we propose a novel method for producing image captions through the utilization of Generative Adversarial Networks (GANs) and Vision Transformers (ViTs) using our proposed Image Captioning Utilizing Transformer and GAN (ICTGAN) model. …”
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Combining UAV Multispectral Imaging and PROSAIL Model to Estimate LAI of Potato at Plot Scale by Shuang Li, Yongxin Lin, Ping Zhu, Liping Jin, Chunsong Bian, Jiangang Liu

“…The LAI retrieval model using the PROSAIL model and PLSR achieved an R² as high as 0.87, while the R² using the RF algorithm ranged from 0.33 to 0.81. The proposed hybrid model, integrated with UAV multispectral data, PROSAIL, and PLSR can achieve approximate accuracy compared with the empirical inversion models, which can alleviate the labor-intensive process of handheld LAI measurements for building inversion models. …”
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Magnetic Resonance Imaging in the Diagnosis of Aortic Wall Elastic Properties Disorders and Its Hemodynamics by K. R. Bril, A. A. Pronkin, T. N. Galyan, V. V. Khovrin

“…A number of biomechanical parameters determined by aortic MRI demonstrates the process of its wall remodeling, so their analysis will allow to develope an algorithm for the early diagnosis of aneurysms and the threat of acute aortic syndrome.Objective: using aortic MRI data, to evaluate the aortic biomechanical parameters and hemodynamics at pre- and postoperative stages and their impact on the occurrence of complications and relapses in the long-term period.Material and methods. …”
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Semiautomatic Landmark-Based Two-Dimensional—Three-Dimensional Image Fusion in Living Mice: Correlation of Near-Infrared Fluorescence Imaging of Cy5.5-Labeled Antibodies with Flat-... by Christian Dullin, Marta Zientkowska, Joanna Napp, Jeannine Missbach-Guentner, Hans-Willi Krell, Friedemann Muller, Eckhardt Grabbe, Lutz-F. Tietze, Frauke Alves

“…Connecting fluorescence signals with anatomic structures enhances our ability to monitor biologic processes in mice. Here, we present a semiautomated approach to correlate two-dimensional (2D) noninvasive near-infrared fluorescence (NIRF) imaging with three-dimensional (3D), high-resolution, flat-panel volume computed tomography (fpVCT). …”
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Design of Command and Dispatch System for Automatic Reading of Meter Images in Substations by UAV Inspection Photos by Guanghong Deng, Liangpei Lin, Baihao Lin, Wenlong Jing, Xiaodan Zhao, Yong Li, Rui Yang, Shidun Xie, Pengfeng Wei

“…This paper proposes a method based on the combination of YOLOv6n object detection and Deeplabv3[Formula: see text] image segmentation and performs post-processing on the segmented images to obtain meter readings. …”
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