Search Results - Convolutional sparse coding

Structure–texture image decomposition via non-convex total generalized variation and convolutional sparse coding by Wang, Chunxue, Xu, Linlin, Liu, Ligang

“…) and convolutional sparse coding (CSC). NTGV aims to characterize the detailed-preserved structural component ameliorating the staircasing artifacts existing in total variation-based models, and CSC aims to characterize image fine-scale textures…”
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Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures by Maeda, Keisuke, Takahashi, Sho, Ogawa, Takahiro, Haseyama, Miki

“…This paper presents a convolutional sparse coding (CSC)‐based deep random vector functional link network (CSDRN…”
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Stability Analysis of \ell -Norm Based Convolutional Sparse Coding Using Stripe Coherence by Fu, Yuli, Zhu, Tao, Xiang, Youjun, Chen, Zhen, Cai, Lei

“…Theoretical guarantees for the <inline-formula><tex-math notation="LaTeX">\ell _{0,\infty }</tex-math></inline-formula>-pseudo-norm based convolutional sparse coding have been established in a recent work…”
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Convolutional Sparse Coding for Time Series Via a ℓ0 Penalty: An Efficient Algorithm With Statistical Guarantees by Truong, Charles, Moreau, Thomas

“… Convolutional sparse coding (CSC) methods, which aim to approximate signals by a sparse combination of short signal templates (also called atoms), are well…”
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Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks by Zhao, Jianwei, Chen, Chen, Zhou, Zhenghua, Cao, Feilong

“… The convolutional sparse coding-based super-resolution (CSC-SR) method has shown its good performance in single image super-resolution…”
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A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images by Li, Haoyue, Zhang, Chengfang, He, Sidi, Feng, Ziliang, Yi, Liangzhong

“… Online convolutional sparse coding (OCSC) alleviates the disadvantages of large computation and low representation rate of convolutional sparse coding (CSC…”
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Convolutional Sparse Coding for Capturing High‐Speed Video Content by Serrano, Ana, Garces, Elena, Masia, Belen, Gutierrez, Diego

“… The recent introduction of compressive sensing and sparse reconstruction techniques allows for the capture of single‐shot high…”
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Learned Convolutional Sparse Coding by Sreter, Hillel, Giryes, Raja

“…We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA (LISTA…”
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Blind deblurring using coupled convolutional sparse coding regularisation for noisy-blurry images by An, T.-H, Choi, D, Cho, S, Hong, K.-S, Lee, S

“… and blur kernel in an alternating fashion. To this end, they first propose coupled convolutional sparse coding, which incorporates the coupled dictionary concept into convolutional sparse coding…”
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Low-Rank Tensor Patching Based on Convolutional Sparse Coding for Communication Data Repair by Hu, Yi, Yao, Yuyi, Cheng, Zhen

“…). Based on the low-rank nature of the tensor, adding convolutional sparse coding (CSC) can well represent the characteristics of the high-frequency part of the information to handle the details while recovering the global information…”
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Scalable Online Convolutional Sparse Coding by Yaqing Wang, Quanming Yao, Kwok, James T., Ni, Lionel M.

“…Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data…”
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Fast Convolutional Sparse Coding by Bristow, Hilton, Eriksson, Anders, Lucey, Simon

“… Convolutional sparse coding explicitly models local interactions through the convolution operator, however the resulting optimization problem is considerably more complex than traditional sparse coding…”
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Convolutional Sparse Coding for Compressed Sensing CT Reconstruction by Bao, Peng, Sun, Huaiqiang, Wang, Zhangyang, Zhang, Yi, Xia, Wenjun, Yang, Kang, Chen, Weiyan, Chen, Mianyi, Xi, Yan, Niu, Shanzhou, Zhou, Jiliu, Zhang, He

“… In recent years, convolutional sparse coding (CSC) has been developed to address these problems…”
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CSCST-Net: a fully sparse-regularized convolutional sparse coding network for low-dose CT denoising by Luo, Jinxin, Liu, Yi, Wang, Tao, Liu, Tingyue, Li, Junjing, Zhang, Pengcheng, Gui, Zhiguo

“… . To address this issue, we propose a novel fully sparse-regularized convolutional sparse coding model (CSC-ST…”
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Sound Events Recognition and Retrieval Using Multi-Convolutional-Channel Sparse Coding Convolutional Neural Networks by Wang, Chien-Yao, Tai, Tzu-Chiang, Wang, Jia-Ching, Santoso, Andri, Mathulaprangsan, Seksan, Chiang, Chin-Chin, Wu, Chung-Hsien

“…This article proposes two novel deep convolutional neural networks (CNN), which are called the sparse coding convolutional neural network (SC-CNN…”
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Convolutional Sparse Coding for Trajectory Reconstruction by Yingying Zhu, Lucey, Simon

“…Trajectory basis Non-Rigid Structure from Motion (NRSfM) refers to the process of reconstructing the 3D trajectory of each point of a non-rigid object from…”
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Efficient convolutional sparse coding by Wohlberg, Brendt

“… A recent development is convolutional sparse coding, in which a sparse representation for an entire image is computed by replacing the linear combination of a set of dictionary vectors by the sum…”
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Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding by Papyan, Vardan, Sulam, Jeremias, Elad, Michael

“… when deployed with learned dictionaries. A way around this problem has been recently proposed, adopting a convolutional sparse representation model…”
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Convolutional Sparse Coding for Image Super-Resolution by Gu, Shuhang, Zuo, Wangmeng, Xie, Qi, Meng, Deyu, Feng, Xiangchu, Zhang, Lei

“… In this paper, we propose a convolutional sparse coding (CSC) based SR (CSC-SR) method to address the consistency issue…”
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Interpretable Multi-modal Image Registration Network Based on Disentangled Convolutional Sparse Coding by Deng, Xin, Liu, Enpeng, Li, Shengxi, Duan, Yiping, Xu, Mai

“… In this paper, we first model the multi-modal image registration problem as a disentangled convolutional sparse coding (DCSC) model…”
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