Image quality for diffraction tomography, holographic backpropagation, and regularized sampling with noisy data

ISSN： 1741-5977

Source： Inverse Problems in Science and Engineering, Vol.19, Iss.2, 2011-03, pp. : 203-221

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Quantitative Abel tomography robust to noisy, corrupted and missing data

By Asaki Thomas

Optimization and Engineering, Vol. 11, Iss. 3, 2010-09 ,pp. : 381-393

Springer Publishing Company

Access to resources Recommend Favorite

Adaptive estimation of the density matrix in quantum homodyne tomography with noisy data

By Alquier P Meziani K Peyré G

Inverse Problems, Vol. 29, Iss. 7, 2013-07 ,pp. : 75017-75036

IOP Publishing

Access to resources Recommend Favorite

Regularized sparse representation for image deconvolution

By Huang Shisheng Zhu Jubo Xie Meihua Bai Hefeng

Inverse Problems in Science and Engineering, Vol. 22, Iss. 6, 2014-08 ,pp. : 924-939

Taylor & Francis Ltd

Access to resources Recommend Favorite

Diffraction tomography of strain

By Lionheart W R B Withers P J

Inverse Problems, Vol. 31, Iss. 4, 2015-04 ,pp. : 45005-45021

IOP Publishing

Access to resources Recommend Favorite

Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering Sampling Design

By Yan Enping Lin Hui Wang Guangxing Sun Hua

Remote Sensing, Vol. 8, Iss. 7, 2016-07 ,pp. : 571-571

MDPI

Access to resources Recommend Favorite