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NON-LINEAR MULTI-FRAME IMAGE DENOISING USING WEIGHTED NUCLEAR NORM MINIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images.
A. V. Nasonov +2 more
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CNN-BASED UNSUPERVISED REGISTRATION OF TIME-LAPSE MICROSCOPY IMAGE SEQUENCES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Image registration is widely used in live cell microscopy image analysis to compensate for the cell motion. It is a challenging task as the cell is not only moving (which causes rotation and translation), but also changes its form in time making the ...
N. A. Anoshina, D. V. Sorokin
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HUMAN IMAGE MATTING BASED ON CONVOLUTIONAL NEURAL NETWORK AND PRINCIPAL CURVATURES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Image matting often requires advanced image processing, especially in conditions, when small details such as hair are present in the image. In this article the hybrid method for human image matting based on convolutional neural network and principal ...
T. B. Sagindykov, E. A. Pavelyeva
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Quantum State Assignment Flows
Entropy, 2023 This paper introduces assignment flows for density matrices as state spaces for representation and analysis of data associated with vertices of an underlying weighted graph.
Jonathan Schwarz +5 more
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Education Sciences, 2023 In this paper, we discuss the images of mathematics and its teaching, as expressed by mathematics teachers, in reaction to educational programs broadcasted by Polish public television channels during the first lockdown in 2020.
Konstantinos Tatsis, Bożena Maj-Tatsis
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Mathematics in Biomedical Imaging [PDF]
International Journal of Biomedical Imaging, 2007 L'imagerie biomédicale est d'une importance cruciale pour les sciences de la vie et les soins de santé. Dans ce domaine en rapide évolution, les mathématiques sont l'un des outils les plus puissants pour développer la reconstruction d'images ainsi que la théorie et les méthodes de traitement d'images.
Ming Jiang +6 more
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An unambiguous cloudiness index for nonwovens
Journal of Mathematics in Industry, 2022 Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Michael Godehardt +4 more
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Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning
IEEE Access, 2021 Melanoma and non-melanoma skin cancers have shown a rapidly increasing incidence rate, pointing to skin cancer as a major problem for public health. When analyzing these lesions in dermoscopic images, the hairs and their shadows on the skin may occlude ...
Lidia Talavera-Martinez +2 more
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Special Issue – Mathematical Imaging [PDF]
Journal of Algorithms & Computational Technology, 2016 The multidisciplinary subject of Imaging Science concerning the generation, collection, duplication, analysis, modification, restoration, enhancement, comparison, feature extraction, and visualisation of images is developing in a rapid speed.
Chen, Ke, Lai, Choi Hong
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Impulsive Noise Removal with an Adaptive Weighted Arithmetic Mean Operator for Any Noise Density
Applied Sciences, 2021 Many computer vision algorithms which are not robust to noise incorporate a noise removal stage in their workflow to avoid distortions in the final result. In the last decade, many filters for salt-and-pepper noise removal have been proposed.
Manuel González-Hidalgo +3 more
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