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Blood Peripheral Circulation Assessment Method Based on Combined Use of the Video-Capillaroscopy, Imaging Photoplethysmography, and Electrocardiography

Maxim Volynsky, Mikhail Volkov, Nikita Margaryants, Igor P. Gurov, and Alexei A. Kamshilin

JT3A.26 Mathematics in Imaging (MATH) 2016 View: PDF

math-2016

Phase Recovery from Diffraction Patterns Using Boolean Coded Apertures and the Truncated Wirtinger Flow Algorithm

Samuel Pinilla and Henry Arguello

JT3A.28 Mathematics in Imaging (MATH) 2016 View: PDF

math-2016

Single-pixel imaging around a corner using Fourier spectrum acquisition

Hua Zhang, Liangcai Cao, Hao Zhang, and Guofan Jin

JT3A.31 Mathematics in Imaging (MATH) 2016 View: PDF

math-2016
math-2016

    • Mathematical Imaging covers mathematical and computational methods for modeling the physics of imaging methods and for providing stable and resolved solutions to the inverse problem of image reconstruction. It captures leading edge fundamental developments in imaging science and has applications in photonics, biomedical imaging, astronomy, and remote sensing.