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Image inpainting based on sparse representation using self-similar joint sparse coding
In order to improve the sparse coding ability of over-complete dictionary and take advantage of the similarity between damaged pixels and their...
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Group Equivariant Sparse Coding
We describe a sparse coding model of visual cortex that encodes image transformations in an equivariant and hierarchical manner. The model consists...
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Multi-focus image fusion via online convolutional sparse coding
Efficiently and perfectly eliminate out-of-focus pixels is still a persistent challenge for multi-focus image fusion. Previous approaches tend to...
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A Novel Fusion Strategy and Convolutional Sparse Coding for Robot Multisource Image Fusion
AbstractImage fusion refers to the fusion of images collected by multiple sensors about the same target or scene into one image by image processing...
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State-sensitive convolutional sparse coding for potential biomarker identification in brain signals
The identification of prototypical waveforms, such as sleep spindles and epileptic spikes, is crucial for the diagnosis of neurological disorders....
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Symmetry Structured Analysis Sparse Coding for Key Frame Extraction
The efficiency of sparse coding based key frame extraction algorithm is influenced by various sparse regularization and optimization strategies....
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Discriminative convolution sparse coding for robust image classification
Convolutional Sparse Coding (CSC) is a popular model in the signal and image processing communities, resolving some limitations of the traditional...
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Image classification via convolutional sparse coding
The Convolutional Sparse Coding (CSC) model has recently attracted a lot of attention in the signal and image processing communities. Since, in...
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Multimodal image enhancement using convolutional sparse coding
This paper proposes a wavelet domain-based method for multispectral image super-resolution. The stationary wavelet transform is proposed to decompose...
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T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification
Cancer is a complex disease marked by uncontrolled cell growth, potentially leading to tumors and metastases. Identifying cancer types is crucial for...
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Sparse Coding of Deep Residual Descriptors for Vein Recognition
Vein recognition has been drawing more attention recently because it is highly secure and reliable for practical biometric applications. However, the...
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Image Denoising Using Convolutional Sparse Coding Network with Dry Friction
Convolutional sparse coding model has been successfully used in some tasks such as signal or image processing and classification. The recently...
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CCOCSA-based multi-frame sparse coding super-resolution via mutual information-based weighted image fusion
Image super-resolution (SR) is one of the most urgent requirements in many applications in computer vision. Though many techniques have been proposed...
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Reversible Data Hiding in Encrypted Images Based on Block Classification Coding of Sparse Representation
Reversible data hiding has attracted great attention, especially in the field of encrypted images. Due to the strong similarity among neighboring...
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An Efficient Medical Image Fusion via Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Convolutional sparse coding (CSC) as an interpretable signal representation and decomposition model has achieved promising performance in medical...
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Sparse and Topological Coding for Visual Localization of Autonomous Vehicles
Efficient encoding of visual information is essential to the success of vision-based navigation tasks in large-scale environments. To do so, we...
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Structure–texture image decomposition via non-convex total generalized variation and convolutional sparse coding
Image decomposition is a fundamental but challenging ill-posed problem in image processing and has been widely applied to compression, enhancement,...
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Arrhythmia detection based on the reduced features with K-SVD sparse coding algorithm
Arrhythmia is a subnormal heartbeat that causes Tachycardia or Bradycardia. ECG signal is extensively used for the analysis of heart diseases. The...
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Real-time textile fabric flaw inspection system using grouped sparse dictionary
Fabric surface flaw inspection is essential for textile quality control, and it is demanding to replace human inspectors with the automatic machine...
