Collaborative filtering of correlated noise: Exact transform-domain variance for improved shrinkage and patch matching
Collaborative filters perform denoising through transform-domain shrinkage of a group of
similar patches extracted from an image. Existing collaborative filters of stationary correlated …
similar patches extracted from an image. Existing collaborative filters of stationary correlated …
Denoising of stimulated Raman scattering microscopy images via deep learning
Stimulated Raman scattering (SRS) microscopy is a label-free quantitative chemical imaging
technique that has demonstrated great utility in biomedical imaging applications ranging …
technique that has demonstrated great utility in biomedical imaging applications ranging …
Variational-EM-based deep learning for noise-blind image deblurring
Non-blind deblurring is an important problem encountered in many image restoration tasks.
The focus of non-blind deblurring is on how to suppress noise magnification during …
The focus of non-blind deblurring is on how to suppress noise magnification during …
Non-blind and blind deconvolution under poisson noise using fractional-order total variation
In a wide range of applications such as astronomy, biology, and medical imaging, acquired
data are usually corrupted by Poisson noise and blurring artifacts. Poisson noise often …
data are usually corrupted by Poisson noise and blurring artifacts. Poisson noise often …
Learning non-local spatial correlations to restore sparse 3D single-photon data
This paper presents a new algorithm for the learning of spatial correlation and non-local
restoration of single-photon 3D Lidar images acquired in the photon starved regime (fewer …
restoration of single-photon 3D Lidar images acquired in the photon starved regime (fewer …
Infrared image denoising based on the variance-stabilizing transform and the dual-domain filter
X Chen, L Liu, J Zhang, W Shao - Digital Signal Processing, 2021 - Elsevier
In the past decades, image denoising has been widely studied as a basic technology for
image processing. However, most denoising methods are designed for Gaussian noise …
image processing. However, most denoising methods are designed for Gaussian noise …
Infrared image denoising via adversarial learning with multi-level feature attention network
We propose an infrared image denoising method based on the adversarial learning with a
multi-level feature attention network (MLFAN). A multi-level feature attention block (MLFAB) …
multi-level feature attention network (MLFAN). A multi-level feature attention block (MLFAB) …
Megapixel photon-counting color imaging using quanta image sensor
Quanta Image Sensor (QIS) is a single-photon detector designed for extremely low light
imaging conditions. Majority of the existing QIS prototypes are monochrome based on single …
imaging conditions. Majority of the existing QIS prototypes are monochrome based on single …
Plug-and-play quantum adaptive denoiser for deconvolving poisson noisy images
A new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme is proposed
in this paper, by embedding a recently introduced adaptive denoiser using the Schroedinger …
in this paper, by embedding a recently introduced adaptive denoiser using the Schroedinger …
[PDF][PDF] 基于噪声模型变换的子光斑质心提取方法
陈春璐， 赵旺， 赵孟孟， 王帅， 赵晨思， 杨康建 - Acta Optica Sinica, 2023 - researching.cn
摘要受天光背景, 大气湍流强度, 信标光回光特性和探测器噪声等因素影响, 夏克-
哈特曼波前传感器子孔径光斑常存在强度分布不均匀和低信噪比的情况, 故子孔径内光斑质心 …
哈特曼波前传感器子孔径光斑常存在强度分布不均匀和低信噪比的情况, 故子孔径内光斑质心 …