Results 21 to 30 of about 9,948,343 (299)
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Compressed sensing (CS) MRI relies on adequate under-sampling of the k-space to accelerate the acquisition without compromising image quality. Consequently, the design of optimal sampling patterns for these k-space coefficients has received significant ...
Iris A. M. Huijben +2 more
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Compressive Video Sampling [PDF]
, 2008 Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Stankovic, V., Stankovic, L., Cheng, S.
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Compressive Sampling Using a Pushframe Camera [PDF]
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), 2021 Pushframe parallellized single pixel camera imaging utilizes scanning motion to apply linear sampling masks to rapidly compressively sense a scene. We demonstrate strongly performing static binarized noiselet mask designs, tailored for pushframe hardware.
Stuart Bennett +6 more
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Variable Density Compressed Image Sampling [PDF]
IEEE Transactions on Image Processing, 2010 Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a limited number of linear projection measurements leading to sub-Nyquist sampling rates. A key to the success of CS is the design of the measurement ensemble.
Zhongmin, Wang, Gonzalo R, Arce
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Research on LFM signal parameter estimation method based on Gabor transform to improve MWC system
AIP Advances, 2023 The “compressed sensing” theory is the foundation for the compressed sampling system’s design. In addition to the sparse representation and observation matrix, more studies in compressed sensing theory focus on signal reconstruction and recovery.
Shuo Meng, Chen Meng, Cheng Wang
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Sampling and Reconstruction Jointly Optimized Model Unfolding Network for Single-Pixel Imaging
Photonics, 2023 In recent years, extensive research has shown that deep learning-based compressed image reconstruction algorithms can achieve faster and better high-quality reconstruction for single-pixel imaging, and that reconstruction quality can be further improved ...
Qiurong Yan +4 more
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Quadrature Compressive Sampling SAR Imaging [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 4 pages, 2 figures, submitted to IGARSS ...
Yang, Huizhang +3 more
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Estimation of LFM signal parameters using RD compressed sampling and the DFRFT dictionary
EURASIP Journal on Advances in Signal Processing, 2023 In this paper, a method combining random demodulator (RD) and discrete fractional Fourier transform (DFRFT) dictionary is suggested to directly estimate the parameters of linear frequency modulation (LFM) signals from compressed sampling data. First, the
Shuo Meng, Chen Meng, Cheng Wang
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Image Encryption Scheme Based on Multiscale Block Compressed Sensing and Markov Model
Entropy, 2021 Many image encryption schemes based on compressed sensing have the problem of poor quality of decrypted images. To deal with this problem, this paper develops an image encryption scheme by multiscale block compressed sensing. The image is decomposed by a
Yuandi Shi, Yinan Hu, Bin Wang
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Compressive Sampling of Binary Images [PDF]
2008 Congress on Image and Signal Processing, 2008 Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of binary images. A system is proposed whereby the image is split into non-overlapping blocks of equal size and compressive sampling is ...
Stankovic, V., Stankovic, L., Cheng, S.
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