26 citations · 66 across the 3 of their papers we have counts for
8 papers
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks
Peng Jia, Mingyang Ma, Dongmei Cai +3
The Shack-Hartmann wavefront sensor is widely used to measure aberrations induced by atmospheric turbulence in adaptive optics systems. However if there exists strong atmospheric t…
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
Peng Jia, Ruiyu Ning, Ruiqi Sun +2
Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of ast…
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Peng Jia, Xuebo Wu, Zhengyang Li +4
The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and i…
PSF--NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
Peng Jia, Xuebo Wu, Yi Huang +2
Ground based optical telescopes are seriously affected by atmospheric turbulence induced aberrations. Understanding properties of these aberrations is important both for instrument…
Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder
Peng Jia, Xiyu Li, Zhengyang Li +2
The point spread function reflects the state of an optical telescope and it is important for data post-processing methods design. For wide field small aperture telescopes, the poin…
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features
Peng Jia, Yi Huang, Bojun Cai +1
Texture is one of the most obvious characteristics in solar images and it is normally described by texture features. Because textures from solar images of the same wavelength are s…