Relevant bibliographies by topics / Multi-image superresolution

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Multi-image superresolution'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Multi-image superresolution"

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PENG Zhen-ming, 彭真明, 景亮 JING Liang, 何艳敏 HE Yan-min, and 张萍 Zhang Ping. "Superresolution fusion of multi-focus image based on multiscale sparse dictionary." Optics and Precision Engineering 22, no. 1 (2014): 169–76. http://dx.doi.org/10.3788/ope.20142201.0169.

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Wang, Yingqian, Jungang Yang, Chao Xiao, and Wei An. "Fast Convergence Strategy for Multi-Image Superresolution via Adaptive Line Search." IEEE Access 6 (2018): 9129–39. http://dx.doi.org/10.1109/access.2018.2799161.

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Xu, Qingqing, Zhiyu Zhu, Huilin Ge, Zheqing Zhang, and Xu Zang. "Effective Face Detector Based on YOLOv5 and Superresolution Reconstruction." Computational and Mathematical Methods in Medicine 2021 (November 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/7748350.

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The application of face detection and recognition technology in security monitoring systems has made a huge contribution to public security. Face detection is an essential first step in many face analysis systems. In complex scenes, the accuracy of face detection would be limited because of the missing and false detection of small faces, due to image quality, face scale, light, and other factors. In this paper, a two-level face detection model called SR-YOLOv5 is proposed to address some problems of dense small faces in actual scenarios. The research first optimized the backbone and loss funct
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Shen, Kai, Hui Lu, Sarfaraz Baig, and Michael R. Wang. "Improving lateral resolution and image quality of optical coherence tomography by the multi-frame superresolution technique for 3D tissue imaging." Biomedical Optics Express 8, no. 11 (2017): 4887. http://dx.doi.org/10.1364/boe.8.004887.

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Han, Xian-Hua, Yongqing Sun, Jian Wang, Boxin Shi, Yinqiang Zheng, and Yen-Wei Chen. "Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution." Sensors 19, no. 24 (2019): 5401. http://dx.doi.org/10.3390/s19245401.

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Hyperspectral imaging is capable of acquiring the rich spectral information of scenes and has great potential for understanding the characteristics of different materials in many applications ranging from remote sensing to medical imaging. However, due to hardware limitations, the existed hyper-/multi-spectral imaging devices usually cannot obtain high spatial resolution. This study aims to generate a high resolution hyperspectral image according to the available low resolution hyperspectral and high resolution RGB images. We propose a novel hyperspectral image superresolution method via non-n
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Максимов, А. И. "EACH FRAME POINT RESTORATION ERROR BASED SUPER-RESOLUTION METHOD." Южно-Сибирский научный вестник, no. 4(38) (August 31, 2021): 30–38. http://dx.doi.org/10.25699/sssb.2021.38.4.011.

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В работе предложен метод повышения пространственного разрешения по серии кадров низкого разрешения, использующий для формирования результирующего изображения значения погрешностей восстановления в точке каждого кадра. Метод объединяет в себе результаты многолетних исследований автора в области повышения качества изображений и видеозаписей. Предложенный метод разрабатывался для решения прикладных задач криминалистической экспертизы видеозаписей и предназначен для повышения визуального качества плоского локального объекта, находящегося близко к центру кадра. Метод состоит из трех этапов. Первый
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Dr., R. Senkamalavalli Pavan C. Sameer Kulkarni Sudeep D. M. Tahreem Imad Pasha. "Enhancement and Restoration of Underwater Images." May 8, 2024. https://doi.org/10.5281/zenodo.11146854.

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The aim of exploring the deep undersea world map, a picture of high quality without interfering objects is preferred. However, within the water, the image quality tends to be hampered by light scattering, water density, and light attenuation. effects. Besides, the dynamic interference may affect the important underwater map. during this paper, we proposed a multi-step and all-around underwater image processing system, especially for the underwater images taken in succession to enhance the image quality, remove the dynamic interference, and reconstruct the image. The first step involves ut
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Dissertations / Theses on the topic "Multi-image superresolution"

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BORDONE, MOLINI ANDREA. "Deep learning for inverse problems in remote sensing: super-resolution and SAR despeckling." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2903492.

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Conference papers on the topic "Multi-image superresolution"

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Zhou, Yu, Sam Kwong, Wei Gao, Xiao Zhang, and Xu Wang. "Complexity reduction in multi-dictionary based single-image superresolution reconstruction via pahse congtuency." In 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2015. http://dx.doi.org/10.1109/icwapr.2015.7295941.

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