Convolutional sparse coding (CSC)singular-value thresholdingCSVConvolutional sparse coding and Simultaneous sparse coding are gives great potential in various low level tasks. It leads to several state of art restoration teSreenivasulu, Yerraboina
Convolutional sparse coding (CSC) is a promising direction for unsupervised learning in computer vision. In contrast to recent supervised methods, CSC allows for convolutional image representations to be learned that are equally useful for high-level vision tasks and low-level image reconstruction and ...
We then introduce a novel technique, based on convolutional sparse coding (CSC), and show how it outperforms the state-of-the-art, patch-based approach in terms of flexibility and efficiency, due to the convolutional nature of its filter banks. The key idea for CSC high-speed video ...
In this paper, we propose a convolutional sparse coding (CSC) based SR (CSC-SR) method to address the consistency issue. Our CSC-SR involves three groups of parameters to be learned: (i) a set of filters to decompose the low resolution (LR) image into LR sparse feature maps, (ii) a...
Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks. In this work, we extend the applicability of this model by proposing a supervised approach to convolutional sparse coding, which aims at learning discriminative dictionaries ...
In**放纵 上传281.53 MB 文件格式 zip clc csc 卷积稀疏编码(Convolutional Sparse Coding)是一种基于信号处理和机器学习的方法,用于对数据进行特征提取和表示学习。它通过将输入信号与一组稀疏滤波器进行卷积操作,从而得到一系列稀疏编码表示。这种方法在处理图像、视频和信号数据时特别有效,能够捕捉数据中的局部特征和...
python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors Updated Apr 29, 2024 Python alphacsc / alphacsc...
A pytorch implementation of a ACSC model based onLerned Convolutional Sparse Codingmodel proposedhereand orhere. ACSC block description Evaluation of different ASCS variants ImageLenaHousePepperCoupleFgprBoatHillManBarbara ACSC131.2831.6929.8829.1126.4329.3129.3529.3627.85 ...
In this work, we propose a novel stochastic spatial-domain solver, in which a randomized subsampling strategy is introduced during the learning sparse codes. Afterwards, we extend the proposed strategy in conjunction with online learning, scaling the CSC model up to very large sample sizes. In ...
An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328 - shodimaggio/ApproximateConvolutionalSparseCoding