Optimal inversion of the generalized Anscombe transformation for Poisson-Gaussian noise
Many digital imaging devices operate by successive photon-to-electron, electron-to-voltage,
and voltage-to-digit conversions. These processes are subject to various signal-dependent …
and voltage-to-digit conversions. These processes are subject to various signal-dependent …
Adaptive regularization of the NL-means: Application to image and video denoising
Image denoising is a central problem in image processing and it is often a necessary step
prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The …
prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The …
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
HC Burger, CJ Schuler, S Harmeling - ar** from a noisy image to a noise-
free image. The best currently available denoising methods approximate this map** with …
free image. The best currently available denoising methods approximate this map** with …
Efficient burst raw denoising with variance stabilization and multi-frequency denoising network
With the growing popularity of smartphones, capturing high-quality images is of vital
importance to smartphones. The cameras of smartphones have small apertures and small …
importance to smartphones. The cameras of smartphones have small apertures and small …
Noise reduction in two-photon laser scanned microscopic images by singular value decomposition with copula threshold
Multi-photon laser scanning microscopy is an advantageous technique for layered imaging
in thick tissue samples. It enables reduced phototoxicity as the region of fluorescence …
in thick tissue samples. It enables reduced phototoxicity as the region of fluorescence …
A variational Bayesian approach for image restoration—Application to image deblurring with Poisson–Gaussian noise
In this paper, a methodology is investigated for signal recovery in the presence of non-
Gaussian noise. In contrast with regularized minimization approaches often adopted in the …
Gaussian noise. In contrast with regularized minimization approaches often adopted in the …
Likelihood estimation and wavelet transformation based optimization for minimization of noisy pixels
In recent times the statistical computation techniques are gaining a lot of interest for
analyzing the behavior of various mathematical distributions. This paper derives the …
analyzing the behavior of various mathematical distributions. This paper derives the …
Uncertainties in the sunspot numbers: estimation and implications
Sunspot number series are subject to various uncertainties that are still poorly known. The
need to understand these better was recently highlighted by the major revision of the …
need to understand these better was recently highlighted by the major revision of the …
Poisson-gaussian noise reduction for x-ray images based on local linear minimum mean square error shrinkage in nonsubsampled contourlet transform domain
S Lee, MG Kang - IEEE Access, 2021 - ieeexplore.ieee.org
Noise reduction is important for X-ray images because it can reduce radiation exposure to
patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise …
patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise …
Improved denoising via Poisson mixture modeling of image sensor noise
This paper describes a study aimed at comparing the real image sensor noise distribution to
the models of noise often assumed in image denoising designs. A quantile analysis in pixel …
the models of noise often assumed in image denoising designs. A quantile analysis in pixel …