SPARCOM: Sparsity based super-resolution correlation microscopy

O Solomon, YC Eldar, M Mutzafi, M Segev - SIAM Journal on Imaging …, 2019 - SIAM
In traditional optical imaging systems, the spatial resolution is limited by the physics of
diffraction, which acts as a low-pass filter. The information on subwavelength features is …

SD-FB-GAN: Saliency-driven feedback GAN for remote sensing image super-resolution reconstruction

J Ma, H Wu, J Zhang, L Zhang - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The visual characteristics of different regions in remote sensing images are significantly
versatile, which poses a huge challenge to single image super-resolution. Although …

Performance limits of covariance-driven super resolution imaging

H Qiao, P Pal - 2017 51st Asilomar Conference on Signals …, 2017 - ieeexplore.ieee.org
This paper studies the role of correlation in the problem of super-resolution fluorescence
microscopy for cellular and molecular imaging. Inspired by our prior work on nested arrays, it …

Understanding the role of positive constraints in sparse bilinear problems

H Qiao, P Pal - 2017 IEEE 7th International Workshop on …, 2017 - ieeexplore.ieee.org
This paper considers a certain class of sparse bilinear problems that arises in blind spike
deconvolution and array calibration. Existing works based on the idea of lifting attempt to …

[图书][B] Structured Sub-Nyquist Sampling with Applications in Compressive Toeplitz Covariance Estimation, Super-Resolution and Phase Retrieval

H Qiao - 2019 - search.proquest.com
Sub-Nyquist sampling has received a huge amount of interest in the past decade. In
classical compressed sensing theory, if the measurement procedure satisfies a particular …