Research Article | OPEN ACCESS
An Adapted Block Thresholding Method for Omnidirectional Image Denoising
1Brahim Alibouch, 1Abderrazak Iazzi, 2Amina Radgui and 1Mohammed Rziza
1LRIT Associated Unit with CNRST (URAC29), Mohammed V-Agdal University, B.P. 1014
2INPT, Madinat AL Irfane, Rabat, Morocco
Research Journal of Applied Sciences, Engineering and Technology 2014 18:1966-1972
Received: August 19, 2014 | Accepted: September 13, 2014 | Published: November 15, 2014
Abstract
The problem of image denoising is largely discussed in the literature. It is a fundamental preprocessing task, and an important step in almost all image processing applications. Omnidirectional images offer a large field of view compared to conventional perspectives images, however, they contain important distortions and classical treatments are thus not appropriate for those deformed omnidirectional images. In this study we introduce an adaptation of an adaptation to Stein block thresholding method to omnidirectional images. We will adapt different treatments in order to take into account the nature of omnidirectional images.
Keywords:
Block thresholding, image denoising, omnidirectional image, wavelet,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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