A combinatory approach of non-chain ring and henon map for image encryption application by Salman Mohi Ud Din, Tariq Shah, Fahad Alblehai, Sameer Nooh, Sajjad Shaukat Jamal

“…A substitution box is constructed from Galois field and is applied in image processing. For pixel mixing, the Henon map is employed, and the exclusive OR operation is performed using a key generated from image pixels and the substitution box. …”
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High-Precision Spotlight SAR Imaging with Joint Modified Fast Factorized Backprojection and Autofocus by Man Zhang, Haolin Li, Guanyong Wang

“…In this paper, we make some essential modifications to the original FFBP and present a scheme to incorporate overlapped-subaperture frame for an accurate PGA processing. The raw data collected by an airborne high-resolution spotlight SAR are used to demonstrate the performance of this algorithm.…”
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Invariant Feature Matching in Spacecraft Rendezvous and Docking Optical Imaging Based on Deep Learning by Dongwen Guo, Shuang Wu, Desheng Weng, Chenzhong Gao, Wei Li

“…Focusing on exploring a new approach as assistance, this study marks the first application of deep learning-based image feature matching in spacecraft docking tasks, introducing the Class-Tuned Invariant Feature Transformer (CtIFT) algorithm. …”
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Super-resolution imaging strategies for cell biologists using a spinning disk microscope. by Neveen A Hosny, Mingying Song, John T Connelly, Simon Ameer-Beg, Martin M Knight, Ann P Wheeler

“…We compared different image analysis algorithms for processing super-resolution data to identify the most suitable for analysis of particular cell structures. …”
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Using Image Feature Extraction to Identification of Ancient Ceramics Based on Partial Differential Equation by Chuanbao Niu, Mingzhu Zhang

“…This paper presents an in-depth study and analysis of the image feature extraction technique for ancient ceramic identification using an algorithm of partial differential equations. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…The testing process was conducted on data derived from the proximal hyperspectral imaging (HSI) of leaves from three different maple species, which were sampled from trees at 7–10-day intervals between 2021 and 2024. …”
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Local Contrast Criterion for Verifiable Image Enhancement Network: Layered Difference Representation Loss by Jin-Hwan Kim, Hanul Kim, Jae Sung Lim, Nam In Park

“…However, the resulting images or frames from DNN-based algorithms are typically not admissible as evidence because these algorithms do not precisely verify the internal processes from input to output. …”
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Use of functional magnetic resonance imaging in patients with irritable bowel syndrome and functional dyspepsia by Katarzyna Skrobisz, Grażyna Piotrowicz, Adrianna Drozdowska, Karolina Markiet, Agnieszka Sabisz, Patrycja Naumczyk, Grażyna Rydzewska, Edyta Szurowska

“…Differences in this parameter can result from alterations in task-related cognitive states or from resting state processes. Nowadays, advanced imaging techniques such as fMRI are more frequently used and are acknowledged among both clinicians and radiologists in the diagnostic algorithm of digestive tract diseases. …”
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DS-HPPO Deep Reinforcement Learning for Optimal DVFS Control on an Image Signal Processor by Yang Du, Wenhong Li, Xiaoyang Zeng

“…In this paper, we introduce the optimal DVFS control, formulated as a sequential decision-making problem, which aims to maximize the overall energy efficiency of processing the specific image task on an ISP chip. We apply the Parameterized Action Markov Decision Process (PAMDP) to model the above optimization problem and solve the PAMDP with the proposed DS-HPPO deep reinforcement learning algorithm. …”
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Enhancing Image Denoising Performance of Bidimensional Empirical Mode Decomposition by Improving the Edge Effect by Feng-Ping An, Da-Chao Lin, Xian-Wei Zhou, Zhihui Sun

“…Bidimensional empirical mode decomposition (BEMD) algorithm, with high adaptive ability, provides a suitable tool for the noisy image processing, and, however, the edge effect involved in its operation gives rise to a problem—how to obtain reliable decomposition results to effectively remove noises from the image. …”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…Imaging spectroscopy in the remote sensing is an ever emerging platform that has offered the hyperspectral imaging (HSI) which delivers the Earth’s object information in hundreds of bands. …”
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Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect by Jing Yin, Jong Hoon Yang

“…After the input image is preprocessed by median filtering, a three-dimensional reconstruction algorithm based on the image sequence is used to perform a three-dimensional reconstruction of the preprocessed image. …”
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A Rapid Gradation Detection System for Earth and Stone Materials Based on Digital Image by Shu Yu, Yanfeng Wen, Zuyu Chen, Guoying Zhang, Yujie Wang, Jianwei Hao, Qiang Zhang

“…In this paper, a set of earth and stone materials gradation detection system based on digital image processing was proposed, which was suitable for detection in the construction sites. …”
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An Advanced Recomposition-Based Displaying Technique: Maximizing Image Reconstruction for Virtual Museum Applications by Jingjie Zhao, Xin Shi, Olga Yezhova, Qinchuan Zhan, Xijing Zhang

“…GHAD progressively constructs Gaze Shift Paths (GSPs), aligning image processing with human gaze dynamics to maximize image reconstruction accuracy, while prioritizing key visual elements based on human attention patterns. …”
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Rainfall Rate Measurement for Advanced Meteorological Imager of the GEO-KOMPSAT-2A Satellite by Dong-Bin Shin, Dong-Cheol Kim, Damwon So

“…An operational rainfall rate (RR) algorithm for the advanced meteorological imager (AMI) on the GEO-KOMPSAT-2A (GK2A) satellite has been developed. …”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

“…Hyperspectral image (HSI) classification, as a pivotal technology in remote sensing data processing, has garnered significant attention in recent years. …”
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INNSE: Invertible neural network-based DNA image storage with self-correction encoding by Yanfen Zheng, Xiaokang Zhang, Lijun Sun, Ben Cao, Bin Wang, Qiang Zhang, Pan Zheng

“…Therefore, we proposed an invertible neural network-based DNA image storage self-correction encoding method (INNSE) that uses the invertibility of network to perform up-down sampling processing on image and video data, thereby greatly reducing the number of DNA sequences required for data storage. …”
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Image quality evaluation for two different positron emitters in a preclinical PET scanner by Rodrigo Modesto Gadelha, Andréa Vidal Ferreira, Guilherme Albuquerque Cavalcante Souza, Juliana Batista Silva, Marcelo Mamede

“…PMOD® software was used to perform images post-processing following NEMA analyses standard. …”
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising by Zihao Chen, Alex Noel Joseph Raj, Vijayarajan Rajangam, Wei Li, Vijayalakshmi G.V. Mahesh, Zhemin Zhuang

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Real-time and universal network for volumetric imaging from microscale to macroscale at high resolution by Bingzhi Lin, Feng Xing, Liwei Su, Kekuan Wang, Yulan Liu, Diming Zhang, Xusan Yang, Huijun Tan, Zhijing Zhu, Depeng Wang

“…Unfortunately, to our knowledge, no one has reported a universal high-resolution light-field image reconstruction algorithm that is compatible with microscale, mesoscale, and macroscale. …”
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