Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics

Vladimir V. Lukin; Sergey K. Abramov; Nikolay N. Ponomarenko; Mikhail L. Uss; Mikhail S. Zriakhov; Benoit Vozel; Kacem Chehdi; Jaakko T. Astola

doi:10.1117/1.3539768

1 January 2011 Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics

Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Mikhail L. Uss, Mikhail S. Zriakhov, Benoit Vozel, Kacem Chehdi, Jaakko T. Astola

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053502 (January 2011). https://doi.org/10.1117/1.3539768

Abstract

In many modern applications, methods and algorithms used for image processing require a priori knowledge or estimates of noise type and its characteristics. Noise type and basic parameters can be sometimes known in advance or determined in an interactive manner. However, it occurs more and more often that they should be estimated in a blind manner. The results of noise-type blind determination can be false, and the estimates of noise parameters are characterized by certain accuracy. Such false decisions and estimation errors have an impact on performance of image-processing techniques that is based on the obtained information. We address some issues of such a negative influence. Possible structures of automatic procedures are presented and discussed for several typical applications of image processing as remote sensing data preprocessing and compression.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. Ponomarenko, Mikhail L. Uss, Mikhail S. Zriakhov, Benoit Vozel, Kacem Chehdi, and Jaakko T. Astola "Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics," Journal of Applied Remote Sensing 5(1), 053502 (1 January 2011). https://doi.org/10.1117/1.3539768

Published: 1 January 2011

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

Includes PDF, HTML & Video, when available