Results 11 to 20 of about 2,932,031 (355)
Deep learning for video compressive sensing
APL Photonics, 2020 We investigate deep learning for video compressive sensing within the scope of snapshot compressive imaging (SCI). In video SCI, multiple high-speed frames are modulated by different coding patterns and then a low-speed detector captures the integration ...
Mu Qiao, Ziyi Meng, Jiawei Ma, Xin Yuan
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Hyperspectral compressive wavefront sensing
High Power Laser Science and Engineering, 2023 Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot.
Sunny Howard +4 more
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Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems [PDF]
Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
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On-Chip Compressive Sensing with a Single-Photon Avalanche Diode Array. [PDF]
Sensors (Basel), 2023 Single-photon avalanche diodes (SPADs) are novel image sensors that record photons at extremely high sensitivity. To reduce both the required sensor area for readout circuits and the data throughput for SPAD array, in this paper, we propose a snapshot ...
Qiu C +6 more
europepmc +2 more sources
Optimized Projection Matrix for Compressive Sensing [PDF]
EURASIP Journal on Advances in Signal Processing, 2010 Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix.
Xu Jianping, Pi Yiming, Cao Zongjie
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Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints. [PDF]
Sensors (Basel), 2022 In remote sensing applications and medical imaging, one of the key points is the acquisition, real-time preprocessing and storage of information. Due to the large amount of information present in the form of images or videos, compression of these data is
Mahdaoui AE, Ouahabi A, Moulay MS.
europepmc +2 more sources
Algebraic compressed sensing [PDF]
Applied and Computational Harmonic Analysis, 2023 We introduce the broad subclass of algebraic compressed sensing problems, where structured signals are modeled either explicitly or implicitly via polynomials. This includes, for instance, low-rank matrix and tensor recovery. We employ powerful techniques from algebraic geometry to study well-posedness of sufficiently general compressed sensing ...
Breiding, Paul +3 more
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COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing [PDF]
IEEE Transactions on Image Processing, 2021 Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and need to train a specific model for each target sampling matrix.
Di You +4 more
semanticscholar +1 more source
Memory-Augmented Deep Unfolding Network for Compressive Sensing [PDF]
ACM Multimedia, 2021 Mapping a truncated optimization method into a deep neural network, deep unfolding network (DUN) has attracted growing attention in compressive sensing (CS) due to its good interpretability and high performance.
Jie Song, Bin Chen, Jian Zhang
semanticscholar +1 more source
CSformer: Bridging Convolution and Transformer for Compressive Sensing [PDF]
IEEE Transactions on Image Processing, 2021 Convolutional Neural Networks (CNNs) dominate image processing but suffer from local inductive bias, which is addressed by the transformer framework with its inherent ability to capture global context through self-attention mechanisms.
Dongjie Ye +5 more
semanticscholar +1 more source