Suchergebnisse - Sparse coding superresolution

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

“… This study presents a multiframe superresolution method using sparse coding to enhance synchrotron radiation microspectroscopy images …”
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Wavelet Sparse Coding-Based Lightweight Networks for Image Superresolution von Wang, Bowei

“… 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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Alternatively Constrained Dictionary Learning For Image Superresolution von Lu, Xiaoqiang, Yuan, Yuan, Yan, Pingkun

“… 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 von Chen, Nan, Sui, Lichun, Zhang, Biao, He, Hongjie, Marcato Junior, Jose, Li, Jonathan

“… 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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Minimax Concave Penalty Regression for Superresolution Image Reconstruction von Liao, Xingran, Wei, Xuekai, Zhou, Mingliang

“… 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 von Ferstl, David, Ruther, Matthias, Bischof, Horst

“… In a novel variational sparse coding approach this dictionary is used to infer strong edge priors …”
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Multiscale and Multitopic Sparse Representation for Multisensor Infrared Image Superresolution von Yan, Binyu, Gan, Zhongliang, Liu, Kai, Yang, Xiaomin

“… Methods based on sparse coding have been successfully used in single-image superresolution (SR) reconstruction …”
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Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning von Gao, Lianru, Hong, Danfeng, Yao, Jing, Zhang, Bing, Gamba, Paolo, Chanussot, Jocelyn

“… : 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 von Wu, Hao, Zhang, Zhiyi, Zhu, Zhilin

“… 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 von Li, Tao, He, Xiaohai, Qing, Linbo, Teng, Qizhi, Chen, Honggang

“… 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 von Tao, Sun, Wei, Chen Hua

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

“… 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 von Haris, Muhammad, Watanabe, Takuya, Liu Fan, Widyanto, Muhammad Rahmat, Nobuhara, Hajime

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

“… 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 von Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish

“… 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 von Yuan, Haoxuan, Zeng, Qiangyu, He, Jianxin

“… 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 von Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Du, Qian, Fowler, James E.

“… 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 von Liu, Changliang, Kershberg, Lauren, Wang, Jiexin, Schneeberger, Shirin, Kaeser, Pascal S

“… 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 von Georgis, Georgios, Lentaris, George, Reisis, Dionysios

“… 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 von Rodriguez, Paul

“… ) 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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