Share Email Print
cover

Proceedings Paper

Image denoising using a combined criterion
Author(s): Evgeny Semenishchev; Vladimir Marchuk; Igor Shrafel; Vadim Dubovskov; Tatyana Onoyko; Stansilav Maslennikov
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 19 May 2016
PDF: 7 pages
Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690E (19 May 2016); doi: 10.1117/12.2223610
Show Author Affiliations
Evgeny Semenishchev, Don State Technical Univ. (Russian Federation)
Vladimir Marchuk, Don State Technical Univ. (Russian Federation)
Igor Shrafel, Don State Technical Univ. (Russian Federation)
Vadim Dubovskov, Don State Technical Univ. (Russian Federation)
Tatyana Onoyko, Don State Technical Univ. (Russian Federation)
Stansilav Maslennikov, Don State Technical Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9869:
Mobile Multimedia/Image Processing, Security, and Applications 2016
Sos S. Agaian; Sabah A. Jassim, Editor(s)

© SPIE. Terms of Use
Back to Top