Mosaicking and Correction Method of Gaofen-3 ScanSAR Images in Coastal Areas with Subswath Overlap Range Constraints by Jiajun Wang, Guowang Jin, Xin Xiong, Jiahao Li, Hao Ye, He Yang

“…To address the issues of subswath misalignment and the inability to correct in the processing of GF-3 ScanSAR images in coastal areas using software such as PIE, ENVI, and SNAP, a method for mosaicking and correcting GF-3 ScanSAR images with subswaths that overlap within specified range constraints is proposed. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Abstract To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. …”
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Spatially Resolved River Monitoring by UAV-Borne 4D-Imaging Radar: Experiments and Preliminary Validation by Giordano Cicioni, Federico Alimenti, Timo Grebner, Julian Kanz, Ron Riekenbrauck, Christian Waldschmidt

“…This research presents a novel data processing method for analyzing the surface velocity distribution of water flows using a 77-GHz 4-D imaging frequency modulated continuous wave (FMCW) radar sensor. …”
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SAAS-Net: Self-Supervised Sparse Synthetic Aperture Radar Imaging Network with Azimuth Ambiguity Suppression by Zhiyi Jin, Zhouhao Pan, Zhe Zhang, Xiaolan Qiu

“…This approach not only improves imaging quality but also accelerates the imaging process. …”
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THE STUDY OF THE BRAIN IN A PATIENT WITH TYPE 1 DIABETES MELLITUS USING TECHNIQUES OF MAGNETIC RESONANCE IMAGING by Yu. G. Samoylova, N. G. Zhukova, M. V. Matveyeva, M. A. Rotkank, O. S. Tonkikh

“…The study of the brain, namely structural and metabolic manifestations of diabetes, is one of the priority problem of modern medical science.The aim of the study was to evaluate dynamics in the different techniques of magnetic resonance imaging in the diagnosis of brain changes in patients with T1DM.Research methods included physical examination, in accordance with the diagnostic algorithm of patients with T1DM, a neurologist consultation, an assessment of cognitive function, analysis of brain changes using standard magnetic resonance imaging and spectroscopy. …”
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Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

“…AI algorithms can optimize image acquisition, processing, and interpretation of complex imaging data. …”
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3D Synthetic Aperture Imaging Method in Spectrum Domain for Low-Cost Portable Ultrasound Systems by Jurij TASINKIEWICZ

“…Moreover, the computational speed of the fast Fourier transform (FFT) algorithm utilized for the ultrasound image synthesis in the spectrum domain makes the proposed method to be more competitive compared to the conventional time domain (TD) STA method based on the delay-and-sum (DAS) technique, especially in the case of 3D imaging in real time mode. …”
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Restoration of Sparse Aperture Images Using Spatial Modulation Diversity Technology Based on a Binocular Telescope Testbed by Zongliang Xie, Haotong Ma, Bo Qi, Ge Ren, Jianliang Shi, Li Dong, Yufeng Tan, Zhipeng Wang, Xiaojun He

“…Synthetic images are obtained with the testbed cophased by an optimization algorithm. …”
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Introduction to Computational Creativity by Anna Longo, ChatGPT

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A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration by Xuanran Zhao, Yan Wu, Xin Hu, Zhikang Li, Ming Li

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C-privacy: A social relationship-driven image customization sharing method in cyber-physical networks by Dapeng Wu, Jian Liu, Yangliang Wan, Zhigang Yang, Ruyan Wang, Xinqi Lin

“…With the increasing popularity of digital photography and Internet technology, more and more users are sharing images on CPN. However, many images are shared without any privacy processing, exposing hidden privacy risks and making sensitive content easily accessible to Artificial Intelligence(AI) algorithms. …”
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A novel 2D MTMHM based key generation for enhanced security in medical image communication by C. Sivaranjani Devi, Rengarajan Amirtharajan

“…The generated random key sequences trigger the proposed medical image encryption algorithm, which integrates a shuffling-diffusion process. …”
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LightLSB: a lightweight secure transmission mechanism for large-scale biometric images in computing limited environment by ZHANG Denghui, SHEN Shengshang, YAO Jiefeng, LI Mohan, LI Aiping

“…To address these problems, a lightweight secure transmission mechanism for large-scale biometric images (LightLSB) was proposed. The existing visual cryptography algorithm was reused, and the quality of decrypted images was gradually improved during preprocessing and post-processing. …”
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AFM Image Segmentation Based on Wave Growth of Local Maximum Regions with their Selection in Order of Decreasing Values by V. V. Rabtsevich, V. Y. Tsviatkou

“…The model provides parallel expansion of the boundaries of areas and automatic determination of the initial growth pixels during the segmentation process. The proposed model and algorithm make it possible to eliminate segmentation error characteristic of the marker watershed, growing areas and the Vincent – Sulli watershed, and thereby increase the accuracy of determining the number of objects in atomic force microscopy images.…”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…It also demonstrated swift image processing at 2.7 ms per image. While the model struggles with accurately identifying longitudinal cracking at higher confidence levels, its effectiveness in visualizing distress detection results on different pavement types is commendable. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…The next step is the image analysis process, which involves extracting retinal blood vessels using the Otsu segmentation algorithm. …”
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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…The methodology explores internal dependencies in the complete input parameter space for classification tasks involving both 1D sensor time-series and 2D image data. MICS-EFS employs a modified encoder-decoder model and the Sequential Forward Search (SFS) algorithm, combining input-output configuration search with embedded feature selection. …”
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In-Line and Off-Axis Hybrid Digital Holographic Imaging Method Based on Off-Axis Hologram Constraints by Fengpeng Wang, Feifan Fan, Deren Yuan, Xinghua Wang

“…We put forward a novel hybrid iterative algorithm to improve the imaging quality of digital holography. …”
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2TSS: Two-Tier Semantic Segmentation Framework With Enhancement for Hotspot Detection of Solar Photovoltaic Thermal Images by Nurul Huda Ishak, Iza Sazanita Isa, Muhammad Khusairi Osman, Mohd Shawal Jadin, Kamarulazhar Daud, Mohd Zulhamdy Ab Hamid

“…This study introduces a novel method based on Two-tier Semantic Segmentation (2TSS) framework explicitly aimed at enhancing hotspot detection in thermal images of PV modules. The proposed method is designed with two subsequent stages of segmentation models, including image pre-processing at the initial of the framework. …”
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I-YOLOv11n: A Lightweight and Efficient Small Target Detection Framework for UAV Aerial Images by Yukai Ma, Caiping Xi, Ting Ma, Han Sun, Huiyang Lu, Xiang Xu, Chen Xu

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