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JOURNALS // Computer Optics // Archive

Computer Optics, 2021 Volume 45, Issue 5, Pages 713–720 (Mi co959)

This article is cited in 5 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Methods for image noise level estimation

A. I. Novikov, A. V. Pronkin

Ryazan State Radio Engineering University

Abstract: The article presents a method for estimating the level of discrete white noise in an image, based on the use of linear difference operators with a vector mask. Two variants of a new method for es-timating the noise level are proposed, which differ in the accuracy of the obtained estimates and computational complexity. The first version of the method can be attributed to the class of block methods, whereas the second one is intended for the rapid image analysis and is based on process-ing a small number of rows or columns of an image.

Keywords: linear smoothing operators, difference operators, cancellation of the deterministic component of the image, noise suppression, noise dispersion

Received: 25.03.2021
Accepted: 11.05.2021

DOI: 10.18287/2412-6179-CO-894



© Steklov Math. Inst. of RAS, 2026