Paper
20 February 2007 Fast nonlocal means for image denoising
Radu Ciprian Bilcu, Markku Vehvilainen
Author Affiliations +
Proceedings Volume 6502, Digital Photography III; 65020R (2007) https://doi.org/10.1117/12.695079
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Due to camera module miniaturization, the pixel area of the digital sensors decreases which decreases also the signal to noise ratio in the captured images. As a consequence, image de-noising is still an important topic in digital image processing field. In this paper we address the problem of image de-noising using the nonlocal means algorithm. This method has excellent de-noising properties but at the expense of increasing the computational complexity. We propose here a novel approach that provides similar filtering capabilities with much less computational effort and shorter processing time. Our proposed algorithm is compared with the nonlocal means algorithm and with another fast implementation, recently reported, in terms of processing time and noise reduction capability (from both visual impression and mean squared error points of view). The comparative results are presented for artificially degraded images and also for images obtained with a camera phone.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Radu Ciprian Bilcu and Markku Vehvilainen "Fast nonlocal means for image denoising", Proc. SPIE 6502, Digital Photography III, 65020R (20 February 2007); https://doi.org/10.1117/12.695079
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CITATIONS
Cited by 23 scholarly publications and 1 patent.
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KEYWORDS
Cameras

Digital image processing

Digital imaging

Image processing

Sensors

Visualization

Image denoising

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