Tree-serial parametric dynamic programming with flexible prior model for image denoising
We consider here image denoising procedures, based on computationally effective tree-serial parametric dynamic programming procedures, different representations of an image lattice by the set of acyclic graphs and non-convex regularization of a new type which allows to flexibly set a priori preferen...
Main Authors: | Pham Cong Thang, Kopylov Andrei Valerievich |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2018-10-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | http://computeroptics.smr.ru/KO/PDF/KO42-5/420515.pdf |
Similar Items
-
An Efficient Modified Gauss Seidel Precoder for Downlink Massive MIMO Systems
by: Woon-Sang Lee, et al.
Published: (2020-01-01) -
Tridiagonal Iterative Method for Linear Systems
by: Jinrui Guan, et al.
Published: (2017-10-01) -
Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry
by: Abderrahim Halimi, et al.
Published: (2017-01-01) -
An Efficient Approach to Evaluate the Transient Response of Illuminated Overhead MTLs Terminated by a Nonlinear Load
by: Jun Guo, et al.
Published: (2019-01-01) -
An acceleration technique for the Gauss-Seidel method applied to symmetric linear systems
by: Jesús Cajigas, et al.
Published: (2014-06-01)