Výsledky vyhledávání - Sparse coding superresolution

  1. 1

    Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy Autor Igarashi, Yasuhiko, Nagamura, Naoka, Sekine, Masahiro, Fukidome, Hirokazu, Hino, Hideitsu, Okada, Masato

    ISSN: 2731-9229, 1931-7573, 2731-9229, 1556-276X
    Vydáno: New York Springer US 03.07.2025
    Vydáno v Discover nano (03.07.2025)
    “… This study presents a multiframe superresolution method using sparse coding to enhance synchrotron radiation microspectroscopy images…”
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  2. 2

    Wavelet Sparse Coding-Based Lightweight Networks for Image Superresolution Autor Wang, Bowei

    ISSN: 1574-017X, 1875-905X
    Vydáno: Amsterdam Hindawi 13.05.2022
    Vydáno v Mobile information systems (13.05.2022)
    “… It is difficult to apply models realistically. To solve this problem, we propose a Wavelet Sparse Coding-based Lightweight Network for Image Superresolution (WLSR…”
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  3. 3

    Alternatively Constrained Dictionary Learning For Image Superresolution Autor Lu, Xiaoqiang, Yuan, Yuan, Yan, Pingkun

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Vydáno: United States IEEE 01.03.2014
    Vydáno v IEEE transactions on cybernetics (01.03.2014)
    “…Dictionaries are crucial in sparse coding-based algorithm for image superresolution…”
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    Single Satellite Imagery Superresolution Based on Hybrid Nonlocal Similarity Constrained Convolution Sparse Coding Autor Chen, Nan, Sui, Lichun, Zhang, Biao, He, Hongjie, Marcato Junior, Jose, Li, Jonathan

    ISSN: 1939-1404, 2151-1535
    Vydáno: Piscataway IEEE 2021
    “… The convolutional sparse coding based superresolution method uses the translation invariance of the convolution filter to directly encode the entire image, maintaining consistency and good performance…”
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  5. 5

    Minimax Concave Penalty Regression for Superresolution Image Reconstruction Autor Liao, Xingran, Wei, Xuekai, Zhou, Mingliang

    ISSN: 0098-3063, 1558-4127
    Vydáno: New York IEEE 01.02.2024
    “… The least absolute shrinkage and selection operator (LASSO) penalty is widely used in sparse coding-based superresolution image reconstruction (SCSR) tasks…”
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    Variational Depth Superresolution Using Example-Based Edge Representations Autor Ferstl, David, Ruther, Matthias, Bischof, Horst

    ISSN: 2380-7504
    Vydáno: IEEE 01.12.2015
    “… In a novel variational sparse coding approach this dictionary is used to infer strong edge priors…”
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  7. 7

    Multiscale and Multitopic Sparse Representation for Multisensor Infrared Image Superresolution Autor Yan, Binyu, Gan, Zhongliang, Liu, Kai, Yang, Xiaomin

    ISSN: 1687-725X, 1687-7268
    Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016
    Vydáno v Journal of sensors (01.01.2016)
    “…Methods based on sparse coding have been successfully used in single-image superresolution (SR) reconstruction…”
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  8. 8

    Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning Autor Gao, Lianru, Hong, Danfeng, Yao, Jing, Zhang, Bing, Gamba, Paolo, Chanussot, Jocelyn

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 01.03.2021
    “…: spectral superresolution (SSR) of MS imagery. This is challenging and less investigated task due to its high ill-posedness in inverse imaging…”
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    Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection Autor Wu, Hao, Zhang, Zhiyi, Zhu, Zhilin

    ISSN: 1546-2234, 1546-5012
    Vydáno: Hershey IGI Global 01.01.2024
    “… Meanwhile, image super-resolution-based sparse coding is also proposed to achieve high…”
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    An Iterative Framework of Cascaded Deblocking and Superresolution for Compressed Images Autor Li, Tao, He, Xiaohai, Qing, Linbo, Teng, Qizhi, Chen, Honggang

    ISSN: 1520-9210, 1941-0077
    Vydáno: IEEE 01.06.2018
    Vydáno v IEEE transactions on multimedia (01.06.2018)
    “…Superresolution (SR) of compressed images is chall-enging due to the combination of resolution loss and compression artifacts…”
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    Joint Sparse Convolutional Coding for Image Super-Resolution Restoration Autor Tao, Sun, Wei, Chen Hua

    ISBN: 1665405031, 9781665405034
    ISSN: 2576-8964
    Vydáno: IEEE 18.12.2020
    “… Convolutional sparse coding uses the global features of image in superresolution reconstruction, and decomposes image wholly into convolution sum of filters and feature map instead of encoding the image patches…”
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  12. 12

    Multi-Semi-Couple Super-Resolution Method for Edge Computing Autor Yang, Xiaomin, Wu, Wei, Liu, Kai, Kim, Pyoung Won, Sangaiah, Arun Kumar, Jeon, Gwanggil

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2018
    Vydáno v IEEE access (01.01.2018)
    “… Sparse-coding-based super-resolution methods are well known for their efficiency. However, the current sparse-coding-based methods suffer from two major problems…”
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    Superresolution for UAV Images via Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction Autor Haris, Muhammad, Watanabe, Takuya, Liu Fan, Widyanto, Muhammad Rahmat, Nobuhara, Hajime

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 01.07.2017
    “…We propose a superresolution (SR) algorithm based on adaptive sparse representation via multiple dictionaries for images taken by unmanned aerial vehicles (UAVs…”
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  14. 14

    Example-Based Super-Resolution Image Reconstruction for Positron Emission Tomography Using Sparse Coding Autor Ren, Xue, Lee, Soo-Jin

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2024
    Vydáno v IEEE access (2024)
    “… training datasets, which are typically scarce in clinical practice. To address this limitation, we adopt sparse coding (SC…”
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    Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution Autor Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish

    ISSN: 2475-1472, 2475-1472
    Vydáno: Piscataway IEEE 01.06.2024
    Vydáno v IEEE sensors letters (01.06.2024)
    “… in data-limited scenarios. The proposed work presents a convolutional analysis sparse coding-based method, employing convolutional transforms that eliminate the need for learning the decoder…”
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    Adaptive Sparse Domain Selection for Weather Radar Superresolution Autor Yuan, Haoxuan, Zeng, Qiangyu, He, Jianxin

    ISSN: 1058-9244, 1875-919X
    Vydáno: New York Hindawi 11.01.2022
    Vydáno v Scientific programming (11.01.2022)
    “… Focus on this limitation, a superresolution reconstruction algorithm of weather radar data based on adaptive sparse domain selection (ASDS…”
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    A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring Autor Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Du, Qian, Fowler, James E.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Vydáno: United States IEEE 01.06.2025
    “…Hyperspectral super-resolution is commonly accomplished by the fusing of a hyperspectral imaging of low spatial resolution with a multispectral image of high…”
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    Dopamine Secretion Is Mediated by Sparse Active Zone-like Release Sites Autor Liu, Changliang, Kershberg, Lauren, Wang, Jiexin, Schneeberger, Shirin, Kaeser, Pascal S

    ISSN: 1097-4172, 1097-4172
    Vydáno: United States 08.02.2018
    Vydáno v Cell (08.02.2018)
    “…Dopamine controls essential brain functions through volume transmission. Different from fast synaptic transmission, where neurotransmitter release and receptor…”
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    Reduced Complexity Superresolution for Low-Bitrate Video Compression Autor Georgis, Georgios, Lentaris, George, Reisis, Dionysios

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York IEEE 01.02.2016
    “… This paper combines state-of-the-art coding and superresolution (SR) techniques to improve video compression both in terms of coding efficiency and complexity…”
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    Random Generated Dictionaries for Convolutional Sparse Coding: An ELM Interpretation for Simple CSC Applications Autor Rodriguez, Paul

    ISSN: 2381-8549
    Vydáno: IEEE 16.10.2022
    “…) as the convolutional dictionary in convolutional sparse coding (CSC) representations and assess its performance for simple applications such denoising and super resolution, when compared…”
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