IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM by Xin Yuan, Chenhui Wang, Xiaohong Chen, Mingxuan Wang, Ning Li, Changli Yu

“…To address the issue of color distortion and blurriness in underwater imageries, a hybrid Underwater Image Enhancement (UIE) method combining Adaptive Gray World Algorithm (GWA), Feature Fusion Attention Network (FFA-Net) and Unsharp Masking (USM) is proposed in this research. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…This review explores hyperspectral imaging (HSI) integrated with machine learning (ML) algorithms as a promising approach for detecting and quantifying mycotoxins in cereal grains and nuts. …”
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Using a 3D Chaotic Dynamic System as a Random Key Generator for Image Steganography by Mohammed Abod Husain, Saad Al-Momen

“…Analysis of chaotic performance is given using the Lyapunov exponents, fractal dimension, and bifurcation diagrams. Furthermore, an algorithm is suggested to generate a random binary key, serving as the controller for the embedding process. …”
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A New BiRNN-SVA Method for Side Lobe Suppression by Shuyi Liu, Yan Jia, Yongqing Liu, Limin Zhai, Xiangkun Zhang

“…The experimental results demonstrate that the BiRNN-SVA method can be applied to data at any Nyquist sampling rate and has superior PSLR and ISLR compared to the GSVA algorithm and MSVA algorithm. The image processed with the proposed method retains more fine details and edge features. …”
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Enabling High-Level Worker-Centric Semantic Understanding of Onsite Images Using Visual Language Models with Attention Mechanism and Beam Search Strategy by Hui Deng, Kejie Fu, Binglin Yu, Huimin Li, Rui Duan, Yichuan Deng, Jia-rui Lin

“…However, a significant portion of this information remains underutilized by construction managers due to the limitations of existing image processing algorithms. These algorithms primarily rely on low-level visual features and struggle to capture high-order semantic information, leading to a gap between computer-generated image semantics and human interpretation. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…Experimental results on public benchmark datasets show that our proposed framework achieves comparable results to current mainstream image compression methods. In addition, our proposed algorithm effectively mitigates distortions in facial and textual regions while preserving the structural integrity and visual fidelity. …”
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Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…Utilizing imaging recurrence data, this study applies a recursive feature elimination algorithm to model and predict patient prognoses, aiming to enhance clinical guidance and prediction accuracy.Materials and MethodsThis research analyzed data from SCLC patients who received curative radiotherapy from January 1, 2010, to December 30, 2021, and had comprehensive follow-up records including pre- and post-treatment imaging. …”
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Application of Object Based Image Classification Using Orthophotos: A Case Study of the Van-Erciş Earthquake by Aslı Sabuncu, Filiz Sunar

“…Depending on the high spatial image resolutions, the use of object-based approach has gained importance and has become widespread rather than the traditional pixel-based approach in the thematic classification. …”
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Experimenting with learning-based image orientation approaches for photogrammetric mapping of <em>Posidonia oceanica</em> meadows by F. Menna, A. Calantropio, A. Pansini, G. Ceccherelli, E. Nocerino

“…A comparative analysis of traditional algorithms and AI-driven approaches for image orientation is presented on datasets that differ by acquisition protocols, depth, season, platform type, and imaging system. …”
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MSU-Net: A Synthesized U-Net for Exploiting Multi-Scale Features in OCT Image Segmentation by Dejie Chen, Xiangping Chen, Hao Gu, Su Zhao, Hao Jiang

“…The U-Net architecture is widely recognized as a prominent algorithm for choroidal segmentation in optical coherence tomography (OCT) images. …”
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Neural Dynamics during Resting State: A Functional Magnetic Resonance Imaging Exploration with Reduction and Visualization by Wei Li, Miao Wang, Wen Wen, Yue Huang, Xi Chen, Wenliang Fan, The Alzheimer's Disease Neuroimaging Initiative

“…Given the low-frequency fluctuations noted during spontaneous neural activities using functional magnetic resonance imaging (fMRI), it is natural to hypothesize that the neural response at resting state also shows a periodic trajectory. …”
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A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks by Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yuhao Huang, Rui Zou

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Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs by A. A. Kosareva

“…The search for anatomical layers in lung CT images will simplify the task of diagnosis and treatment planning, as well as automate the process of image partitioning when preparing a training sample. …”
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A Robust Image Encryption Scheme Based on Quantum Walks and Dynamic DNA for Secure Cloud Applications by Ahmed A. Abd El-Latif, May Almousa, Bassem Abd-El-Atty

“…To enhance sensitivity to the plain image, our encryption algorithm initializes the hyperchaotic system with key parameters, generating chaotic sequences that are used to substitute the plain image. …”
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LD-Det: Lightweight Ship Target Detection Method in SAR Images via Dual Domain Feature Fusion by Hang Yu, Bingzong Liu, Lei Wang, Teng Li

“…However, large-scale deep learning algorithm training requires huge computing power support and large equipment to process, which is not suitable for real-time detection on edge platforms. …”
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Steganography Scheme Based on Reed-Muller Code with Improving Payload and Ability to Retrieval of Destroyed Data for Digital Images by A. M. Molaei, M. H. Sedaaghi, H. Ebrahimnezhad

“…Therefore, the proposed algorithm has a blind detection process which is more suitable for practical and online applications. …”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…An algorithm employs DCT technique for Audio integration within DICOM images are more robust and imperceptible. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…To ensure a high success rate of image recognition after segmentation, judging whether an X-ray SDR image represents a defect was treated as a pattern recognition process. …”
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CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…Recently, the Mamba architecture, based on state-space models, has demonstrated strong global receptive field capabilities and implements linear time complexity in computational processes. While some researchers have incorporated it into CD tasks, most have neglected the effective application of the Mamba selective scanning algorithm for modeling bitemporal image dependencies, resulting in suboptimal feature learning from bitemporal images. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

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