Tikhonov Regularization of Circle-Valued Signals

08/05/2021
by   Laurent Condat, et al.
0

It is common to have to process signals or images whose values are cyclic and can be represented as points on the complex circle, like wrapped phases, angles, orientations, or color hues. We consider a Tikhonov-type regularization model to smoothen or interpolate circle-valued signals defined on arbitrary graphs. We propose a convex relaxation of this nonconvex problem as a semidefinite program, and an efficient algorithm to solve it.

READ FULL TEXT

page 5

page 6

research
07/20/2023

Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization

Manifold-valued signal- and image processing has received attention due ...
research
09/30/2016

Phase Unmixing : Multichannel Source Separation with Magnitude Constraints

We consider the problem of estimating the phases of K mixed complex sign...
research
06/26/2017

An Efficient Algorithm for Matrix-Valued and Vector-Valued Optimal Mass Transport

We present an efficient algorithm for recent generalizations of optimal ...
research
02/11/2020

Maximizing Products of Linear Forms, and The Permanent of Positive Semidefinite Matrices

We study the convex relaxation of a polynomial optimization problem, max...
research
10/07/2014

Mumford-Shah and Potts Regularization for Manifold-Valued Data with Applications to DTI and Q-Ball Imaging

Mumford-Shah and Potts functionals are powerful variational models for r...
research
09/14/2015

Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach

We investigate the problem of estimating the 3D shape of an object defin...
research
03/23/2018

Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence

We describe a new approach and algorithm for the detection of artificial...

Please sign up or login with your details

Forgot password? Click here to reset