Image denoising using a combined criterion

Evgeny Semenishchev; Vladimir Marchuk; Igor Shrafel; Vadim Dubovskov; Tatyana Onoyko; Stansilav Maslennikov

doi:10.1117/12.2223610

19 May 2016 Image denoising using a combined criterion

Evgeny Semenishchev, Vladimir Marchuk, Igor Shrafel, Vadim Dubovskov, Tatyana Onoyko, Stansilav Maslennikov

Proceedings Volume 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016; 98690E (2016) https://doi.org/10.1117/12.2223610
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

A new image denoising method is proposed in this paper. We are considering an optimization problem with a linear objective function based on two criteria, namely, L2 norm and the first order square difference. This method is a parametric, so by a choice of the parameters we can adapt a proposed criteria of the objective function. The denoising algorithm consists of the following steps: 1) multiple denoising estimates are found on local areas of the image; 2) image edges are determined; 3) parameters of the method are fixed and denoised estimates of the local area are found; 4) local window is moved to the next position (local windows are overlapping) in order to produce the final estimate. A proper choice of parameters of the introduced method is discussed. A comparative analysis of a new denoising method with existed ones is performed on a set of test images.

Citation Download Citation

Evgeny Semenishchev, Vladimir Marchuk, Igor Shrafel, Vadim Dubovskov, Tatyana Onoyko, and Stansilav Maslennikov "Image denoising using a combined criterion", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690E (19 May 2016); https://doi.org/10.1117/12.2223610

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