文章基本信息

标题：Noise Level Estimation for Digital Images Using Local Statistics and Its Applications to Noise Removal
本地全文：下载
作者：Asem Khmag ; Sami Ghoul ; Syed Abdul Rahman Al-Haddad 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2018
卷号：16
期号：2
页码：915-924
DOI：10.12928/telkomnika.v16i4.9060
语种：English
出版社：Universitas Ahmad Dahlan
其他摘要：In this paper, an automatic estimation of additive white Gaussian noise technique is proposed. This technique is built according to the local statistics of Gaussian noise. In the field of digital signal processing, estimation of the noise is considered as pivotal process that many signal processing tasks relies on. The main aim of this paper is to design a patch-based estimation technique in order to estimate the noise level in natural images and use it in blind image removal technique. The estimation processes is utilized selected patches which is most contaminated sub-pixels in the tested images sing principal component analysis (PCA). The performance of the suggested noise level estimation technique is shown its superior to state of the art noise estimation and noise removal algorithms, the proposed algorithm produces the best performance in most cases compared with the investigated techniques in terms of PSNR, IQI and the visual perception.