Results 11 to 20 of about 5,109 (308)
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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Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal
Journal of Imaging, 2018 Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging.
Yaniv Oiknine +4 more
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CS-VQA: Visual Question Answering with Compressively Sensed Images [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 Visual Question Answering (VQA) is a complex semantic task requiring both natural language processing and visual recognition. In this paper, we explore whether VQA is solvable when images are captured in a sub-Nyquist compressive paradigm. We develop a series of deep-network architectures that exploit available compressive data to increasing degrees of
Li-Chi Huang +5 more
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CS-ROMER: a novel compressed sensing framework for Faraday depth reconstruction
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT The reconstruction of Faraday depth structure from incomplete spectral polarization radio measurements using the RM synthesis technique is an underconstrained problem requiring additional regularization. In this paper, we present cs-romer: a novel object-oriented compressed sensing framework to reconstruct Faraday depth signals ...
Miguel Cárcamo +3 more
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An Adaptive Rate Blocked Compressive Sensing Method for Video
Entropy, 2021 An adaptive rate Compressive Sensing (CS) method for video signals is proposed. The Blocked Compressive Sensing (BCS) scheme is adopted in this method. Firstly, each video frame is blocked and measured by the BCS scheme, and then the mean and variance of
Jianming Wang, Jianhua Chen
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Data Collection Method in Clustering Sensing Network Based on Compressive Sensing [PDF]
Jisuanji gongcheng, 2018 In order to reduce the cluster sensing network transmissions and prolong network lifetime,this paper proposes a data collection method based on the hybrid Compressive Sensing(CS) technology for clustering Wireless Sensor Network(WSN).It divides the ...
LI Yulong,LIU Renren,ZHAO Jinfeng,ZANG Lang,CAO Bin
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A Two-Branch Convolution Residual Network for Image Compressive Sensing
IEEE Access, 2020 Deep learning has made great progress in image compressive sensing (CS) tasks recently, and several CS models based on it have achieved superior performance. In practice, sensing the entire image requires huge memory and computational effort.
Chenquan Gan +3 more
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A Novel Strategy for Radar Imaging Based on Compressive Sensing [PDF]
, 2010 Radar data have already proven to be compressible with no significant losses for most of the applications in which it is used. In the framework of information theory, the compressibility of a signal implies that it can be decomposed onto a reduced set of
López-Dekker, Paco +8 more
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A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
IEEE Access, 2018 Compressive Sensing (CS) is a new sensing modality, which compresses the signal being acquired at the time of sensing. Signals can have sparse or compressible representation either in original domain or in some transform domain.
Meenu Rani, S. B. Dhok, R. B. Deshmukh
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Jurnal Elkomika, 2020 ABSTRAK Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM ...
YASQI HAFIZHANA +3 more
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