Urban object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy by Luxuan Bian, Zijun Gao, Jue Wang, Bo Li

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Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…Image super-resolution reconstruction, an essential image processing technology, aims to recover clear high-resolution images from low-resolution coalmine images, thereby significantly enhancing the reliability of intelligent monitoring and safety management in coal coalmines. …”
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Evaluation of the results of pansharpening multispectral images by Y. I. Golub

“…When processing digital images obtained by remote sensing of the Earth, various methods are used to increase their resolution. …”
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Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging by Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin

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Reduction of Multiplicative Noise in Radar Images by A. A. Tuzova, V. A. Pavlov, A. A. Belov

“…After determining the optimal (in terms of SSIM) parameters of speckle noise reduction filters, the filters were compared to select the best filters in terms of the quality of radar image processing. In addition, the operation of the filters under study was tested on images containing various types of objects, namely: large objects, small objects and sharp borders. …”
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Analyzing Data Incompleteness for MRI Data for Quality Enhancement by Sanjay Shanbhag, Supreetha Raju, Varadraj P. Gurupur, S. Sowmya Kamath, Rajesh N. V. P. S. Kandala, Elizabeth A. Trader, Shyam Lal

“…Our approach involves leveraging advanced image processing techniques, including line detection algorithms for undersampling detection and blur parameter estimation for motion artifact analysis. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

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steganography in colored images based on biometrics by Zeena Nabeel Jameel AL-Kateeb, Marriam Raad Jasim Mohammed AL-Bazaz

“…Therefore this research has provided a suggested algorithm to hide confidential data in colorful images based on the features of engineering dimensions of the human hand as one of the types of biometrics; we extracted a set of these characteristics and processed them to build a matrix that specifies the map of the distribution of confidential data in the cover image. …”
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Lightweight image encryption using integer reversible discrete Dual-Hahn transform on embedded systems by Mohamed Yamni, Achraf Daoui, Chakir El-Kasri, May Almousa, Ali Abdullah S. AlQahtani, Ahmed A. Abd El-Latif

“…The security and performance of a cryptographic algorithm can be reduced when implemented on an embedded system, such as a 32-bit microcontroller, due to the limitation of hardware resources, such as computational precision, processing power, and memory. …”
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Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation by Bakhtiar Feizizadeh, Ali KHedmat Zadeh, Mohammad Reza Nikjoo

“…In this regard, the object-based Image Analysis (OBIA) is known as a new method of satellite image processing which integrates spatial and spectral information for satellite image process. …”
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A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression by Xufeng Li, Li Zhou, Yan Zhu

“…The PL performs compression and decompression using multiple cores. Each core can process up to eight image tiles at the same time. …”
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Envisioning Archival Images with Artificial Intelligence by Jessica Bushey

“…The review highlights the potential of AI, particularly computer vision (CV), to address the challenges associated with processing large volumes of digital images. CV algorithms, such as object detection and image classification, can automate tasks like image metadata generation, offering archivists new tools for organizing collections more efficiently. …”
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Best Band Selection using Principle Component Analysis Algorithm from Remote Sensing Data by Maha Hasso, Mona Siddiq

“…In this paper we use principle component analysis  algorithm applied on remote sensing data and find covariance matrix for bands that should be processed then find eigen vector using Jacobi methods .The algorithm was  applied on multispectral images of Thematic Mapper sensor , it concluded that the six  band was  the best band , the value of it’s eigen value    was the biggest one  and the value of signal to noise ratio equals to 74.7217. …”
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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…While most earlier studies have addressed ECG image processing using basic filtering, fixed-region cropping, or template matching, our method uniquely focuses on automated and precise reconstruction of individual ECG leads from noisy and overlapping multi-lead images—a challenge often overlooked in previous work. …”
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Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data by Tianyu Sun, Lang He, Xi Fang, Liang Xie

“…Additionally, EMPCA preprocessing exploits latent information within tensor structures, leading to improved segmentation performance. The proposed EMPCA algorithm holds promise for reducing image analysis runtimes and advancing rapid image processing techniques.…”
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A Review of Artificial Intelligence (AI) Applications in Key Generation for Encryption Algorithms by Zahraa Atheer Ali, Hasan Falah Hasan

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Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems by Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur

“…The industrial application of artificial intelligence (AI) has witnessed outstanding adoption due to its robust efficiency in recent times. Image fault detection and classification have also been implemented industrially for product defect detection, as well as for maintaining standards and optimizing processes using AI. …”
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Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization by Fadiyah M. Almutairi, Sara A. Althubiti, Shabnam Mohamed Aslam, Habib Dhahri, Omar Alhajlah, Nitin Mittal

“…This research aims to develop a deep-learning (DL) tool to detect the AIG from clinical-grade endoscopic images. Various stages in the DL tool comprise; (i) Image collection and resizing, (ii) image pre-processing using Entropy-function and Moth-Flame (MF) Algorithm, (iii) deep-features extraction using a chosen DL-model, (iv) feature optimization using MF algorithm and serial features concatenation, and (iv) classification and performance confirmation using five-fold cross-validation. …”
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Robust Vessel Segmentation in Fundus Images by A. Budai, R. Bock, A. Maier, J. Hornegger, G. Michelson

“…Our aim is to accelerate this process using computer aided diagnosis. As a first step, it is necessary to segment structures in the images for tissue differentiation. …”
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