Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Statistical performance modeling for superresolution: a discrete data-continuous reconstruction framework

Not Accessible

Your library or personal account may give you access

Abstract

We address performance modeling of superresolution (SR) techniques. Superresolution consists in combining several images of the same scene to produce an image with better resolution and contrast. We propose a discrete data-continuous reconstruction framework to conduct SR performance analysis and derive a theoretical expression of the reconstruction mean squared error (MSE) as a compact, computationally tractable function of signal-to-noise ratio (SNR), scene model, sensor transfer function, number of frames, interframe translation motion, and SR reconstruction filter. A formal expression for the MSE is obtained that allows a qualitative study of SR behavior. In particular we provide an original outlook on the balance between noise and aliasing reduction in linear SR. Explicit account for the SR reconstruction filter is an original feature of our model. It allows for the first time to study not only optimal filters but also suboptimal ones, which are often used in practice.

© 2009 Optical Society of America

Full Article  |  PDF Article
More Like This
Spectral-overlap approach to multiframe superresolution image reconstruction

Edward Cohen, Richard H. Picard, and Peter N. Crabtree
Appl. Opt. 55(15) 3978-3992 (2016)

Small-kernel superresolution methods for microscanning imaging systems

Jiazheng Shi, Stephen E. Reichenbach, and James D. Howe
Appl. Opt. 45(6) 1203-1214 (2006)

Theoretical performance assessment and empirical analysis of super-resolution under unknown affine sensor motion

Brian J. Thelen, John R. Valenzuela, and Joel W. LeBlanc
J. Opt. Soc. Am. A 33(4) 519-526 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (15)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (67)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved