9 citations · 19 across the 4 of their papers we have counts for
4 papers
Moment-based space-variant Shack-Hartmann wavefront reconstruction
Fan Feng, Chen Liang, Dongdong Chen +9
Based on image moment theory, an approach for space-variant Shack-Hartmann wavefront reconstruction is presented in this article. The relation between the moment of a pair of subim…
Space-variant Shack-Hartmann wavefront sensing based on affine transformation estimation
Fan Feng, Chen Liang, Dongdong Chen +7
The space-variant wavefront reconstruction problem inherently exists in deep tissue imaging. In this paper,we propose a framework of Shack-Hartmann wavefront space-variant sensing…
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Julián Tachella, Dongdong Chen, Mike Davies
Solving an ill-posed linear inverse problem requires knowledge about the underlying signal model. In many applications, this model is a priori unknown and has to be learned from da…
Unsupervised Learning From Incomplete Measurements for Inverse Problems
Julián Tachella, Dongdong Chen, Mike Davies
In many real-world inverse problems, only incomplete measurement data are available for training which can pose a problem for learning a reconstruction function. Indeed, unsupervis…