A dynamic texture model for imaging through turbulence 1 Introduction

• fiche de synthèse - matière potentielle : the algorithm

A dynamic texture model for imaging through turbulence Mario Micheli∗, Yifei Lou†, Stefano Soatto‡, Andrea L. Bertozzi∗ , , , ∗Department of Mathematics, UCLA, Los Angeles, CA 90095-1555 †School of Electrical and Computer Engineering, Georgia Inst. of Technology, Atlanta, GA 30332 ‡Department of Computer Science, UCLA, Los Angeles, CA 90095-1596 Abstract In this paper we address the problem of recovering an image from a sequence of distorted versions of it, where the distortion is caused

• better choice
• initial guess of the initial value of the natural frequency
• such transformations
• system parameters
• lucky frame
• image sequence
• image
• model
• initial state
• problem