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  1. 541

    Pattern Matching-Based Denoising for Images with Repeated Sub-Structures by Anil Kumar Mysore Badarinarayana, Christoph Pratsch, Thomas Lunkenbein, Florian Jug

    Published 2025-04-01
    “…Therefore, the suppression of noise is essential for the analysis of such noisy images. State-of-the-art image denoising methods are dominated by supervised Convolution neural network (CNN)-based methods. …”
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    Article
  2. 542

    A resilient image encryption scheme using Laplace transform by Fariha Nawaz, Saba Inam, Shamsa Kanwal, Shaha Al-Otaibi, Fahima Hajjej

    Published 2024-09-01
    “…The importance of image encryption in cryptography has surged due to advancement in image processing technology. …”
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    Article
  3. 543

    Estimation of Soil Moisture in an Alpine Catchment with RADARSAT2 Images by L. Pasolli, C. Notarnicola, L. Bruzzone, G. Bertoldi, S. Della Chiesa, V. Hell, G. Niedrist, U. Tappeiner, M. Zebisch, F. Del Frate, G. Vaglio Laurin

    Published 2011-01-01
    “…However, especially in the Alps, the presence of vegetation and the heterogeneity of topography may significantly affect the microwave signal, thus increasing the complexity of the retrieval. In this paper, the effectiveness of RADARSAT2 SAR images for the estimation of soil moisture in an alpine catchment is investigated. …”
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    Article
  4. 544

    Image Processing for Tooth Type Classification using Deep Learning by Mahmut Emin Çelik, Mehmet Zahid Genç, Ertuğrul Furkan Savaştaer, Fikret Ulus, Berrin Çelik

    Published 2025-04-01
    “…Two models with the highest and lowest performance were chosen for further analysis related to image processing. 10 different image processing techniques (Gaussian Noise, Gaussian Blur, Wavelet Transform, Sharpness, Contrast Enhancement, Color Correction, Elastic Transform, Random Erasing, Local Binary Patterns, Local Max Min) were applied to these two models. …”
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    Article
  5. 545

    Reconstructed hyperspectral imaging for in-situ nutrient prediction in pine needles by Yuanhang Li, Yuanhang Li, Jun Du, Jun Du, Chuangjie Zeng, Chuangjie Zeng, Yongshan Wu, Yongshan Wu, Junxian Chen, Junxian Chen, Teng Long, Teng Long, Yongbing Long, Yongbing Long, Yubin Lan, Yubin Lan, Xiaoliang Che, Tianyi Liu, Jing Zhao, Jing Zhao

    Published 2025-08-01
    “…IntroductionHyperspectral imaging (HSI) is a powerful, non-destructive technology that enables precise analysis of plant nutrient content, which can enhance forestry productivity and quality. …”
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    Article
  6. 546
  7. 547

    Image fusion, based on data from sources of a various spectral range by D. S. Sharak, E. I. Mikhnionok, A. S. Shein, A. V. Khizhniak

    Published 2019-06-01
    “…The complex approach of earth surface and airspace data processing with use of images from sources of a various spectral range is considered in the article. …”
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  13. 553

    Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography by Chun-Chi Chen, Song-Xian Lin, Hyundoo Jeong

    Published 2025-01-01
    “…Through a comparative analysis, this study offers insights into efficient timing correction techniques for enhancing HR estimation from rPPG, particularly suitable for edge-computing applications where low computational complexity is essential. …”
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    Article
  14. 554

    Energy efficient design and implementation of approximate adder for image processing applications by Naik Jatothu Brahmaiah, Kumar Kanagala Sateesh, Krishnaiah Kondragunta Rama, Koteswararao Seelam

    Published 2025-01-01
    “…Furthermore, suggested approximation adders were used to execute image additions. Using image addition, the image quantitative statistics are used to application-level accuracy metrics analysis. …”
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    Article
  15. 555

    Subtype‐associated complexity and prognostic significance of the NLRP3 inflammasome landscape in pancreatic neoplasms by Kristóf Németh, Eszter Mezei, Justína Vörös, Katalin Borka, Adrián Pesti, István Kenessey, András Kiss, András Budai

    Published 2025-03-01
    “…A cohort of 187 patients (100 IPMN and 87 PDAC) underwent high‐dimensional histopathological imaging using the multiplexed immunohistochemical consecutive staining on single slide method and a semi‐automated image analysis workflow. …”
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    Article
  16. 556

    Unveiling the immune microenvironment of complex tissues and tumors in transcriptomics through a deconvolution approach by Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I.-Hsuan Lu, Chung-Yen Lin

    Published 2025-05-01
    “…Additionally, mySORT outperforms existing methods like CIBERSORT in accuracy and provides a wide range of data visualization features, such as hierarchical clustering and cell complexity plots. The toolkit and web application are freely available for the research community, providing enhanced resolution for conventional bulk RNA sequencing data and facilitating the analysis of immune microenvironment responses in immunotherapy. …”
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    Article
  17. 557

    Morphological Analysis and Subtype Detection of Acute Myeloid Leukemia in High-Resolution Blood Smears Using ConvNeXT by Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin

    Published 2025-02-01
    “…(1) Background: Acute Myeloid Leukemia (AML) is a complex hematologic malignancy where accurate subtype classification is crucial for targeted treatment and improved patient outcomes. …”
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  18. 558

    Multi-Resolution UAV Remote Sensing for Anthropogenic Debris Detection in Complex River Environments by Peaceibisia Jack, Trent Biggs, Daniel Sousa, Lloyd Coulter, Sarah Hutmacher, Hilary McMillan

    Published 2025-06-01
    “…Spatial analysis revealed that 51% of debris was concentrated within unsheltered encampments, which occupied only 2.6% of the study area. …”
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  19. 559

    Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

    Published 2025-03-01
    “…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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  20. 560