DocumentCode
3215339
Title
Non-local means denoising using an adaptive kernel
Author
Tahmouresi, Amir Ali ; Saryazdi, Saeid ; Seydnejad, Saeid Reza
Author_Institution
Shahid Bahonar Univ. of Kerman, Kerman, Iran
fYear
2012
fDate
15-17 May 2012
Firstpage
1436
Lastpage
1441
Abstract
Non-local means algorithm is one of the powerful image denoising methods. Maintaining noise near edges and textural parts of a noisy image, is one of the main drawbacks of NLM. In this paper we introduce an adaptive kernel derived from image structure to remove maintained noise. Experimental results show superiority of our algorithm in comparison with original NLM as well as a method based on shape adaptive patches.
Keywords
edge detection; image denoising; image texture; NLM; adaptive kernel; image structure; noisy image texture; nonlocal mean denoising algorithm; shape adaptive patches; Noise reduction; PSNR; Robustness; Adaptive kernel; Denoising; Non-local means; Shape adaptive patches;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2012 20th Iranian Conference on
Conference_Location
Tehran
Print_ISBN
978-1-4673-1149-6
Type
conf
DOI
10.1109/IranianCEE.2012.6292584
Filename
6292584
Link To Document