Title :
A Fast Method of Estimating Gaussian Noise
Author_Institution :
Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
Abstract :
Based on the analysis of existed evaluation algorithms, the paper proposes a fast method of estimating Gaussian noise. The proposed method firstly pre-filter the image to remove the influence of image content; then plot the image to obtain sub-plots´ variance; and lastly calculate variance of original noise according to sub-plots´ variance. Experimental results validate the proposed method.
Keywords :
Gaussian noise; image denoising; Gaussian noise estimation; image content; original noise; Algorithm design and analysis; Filtering algorithms; Filters; Finance; Gaussian noise; Image quality; Information analysis; Information science; Information technology; Noise reduction;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.30
