Hybrid regularization for data restoration in the presence of Poisson noise. Abstract: During the last five years, several convex optimization algorithms ...
Aug 28, 2009 · A new approach to restore data degraded by a convolution and Poisson noise has been proposed. The main advan- tages of the method are (i) to ...
This paper proposes in the context of Poisson data an algorithm to achieve the minimization of the associated (possibly constrained) convex optimization ...
Apr 16, 2015 · In the con- text of Poisson data, we propose in this paper an ... Regularizing parameter estimation for Poisson noisy image restoration.
An algorithm for hybrid regularizers based image restoration with Poisson noise ... Poisson noise is data-dependent noise, the noise level of observed images ...
Missing: presence | Show results with:presence
Apr 20, 2021 · In this paper, we consider utilizing a hybrid regularizer for Poisson noisy image restoration.
In this paper, a hybrid regularizers model for Poissonian image restoration is introduced. We study existence and uniqueness of minimizer for this model.
May 31, 2024 · In this paper, we introduce a novel guided regularization model to enhance the efficacy of traditional regularization. Our model incorporates an ...
In this paper, we focus on the use of l-norm prior and present two methods to select the regularizing parameter. We show some comparisons on synthetic data ...
Nov 12, 2010 · This method was presented for image deblurring applications in the presence of Poisson noise [11] and its ... data are contaminated by Poisson ...