Estimation of image noise using polynomial masks

Albert Akhriev; Alexander Bonch-Osmolovsky

doi:10.1117/12.526513

28 May 2004 Estimation of image noise using polynomial masks

Albert Akhriev, Alexander Bonch-Osmolovsky

Author Affiliations +

Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.526513
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Many computer vision and image processing algorithms rely on the knowledge of the image noise variance as their input parameter. However, in practice, the distinction between noise and image features is not easy to draw. In this paper, image noise variance is estimated by a novel method employing rigorously derived polynomial masks. The method is based on the assumption that the image can be locally represented as a polynomial of the given degree and constitutes a generalization of some of previously proposed approaches.

Citation Download Citation

Albert Akhriev and Alexander Bonch-Osmolovsky "Estimation of image noise using polynomial masks", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.526513

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE