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
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;
Conference_Titel :
Electrical Engineering (ICEE), 2012 20th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1149-6
DOI :
10.1109/IranianCEE.2012.6292584
