Computer Science – Performance
Scientific paper
Mar 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011opten..50c0502g&link_type=abstract
Optical Engineering, Volume 50, Issue 3, pp. 030502-030502-2 (2011).
Computer Science
Performance
Image Denoising, Image Texture, Optical Filters, Image Forming And Processing, Pattern Recognition, Filters, Zone Plates, And Polarizers
Scientific paper
Denoising is expected to improve the image quality and the performance of analysis. Combining the nonlocal-means filter and the mean-shift method, we derive a nonlocal weights estimator considering not only similarity of intensity but also the spatial relationship between image blocks. Filtering is performed in each image block and the center pixel is restored by an oriented filter. Experimental results show the performance of the proposed method in improving the signal-to-noise ratio and preserving local textures.
Gao Yonghui
Guo Lv
Yang Jie
No associations
LandOfFree
Nonlocal oriented method for image denoising does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Nonlocal oriented method for image denoising, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonlocal oriented method for image denoising will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1401555