Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-09-05
IET Image Processing 3 (2009) 249-260
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
10.1049/iet-ipr.2009.0056
Reduced ordering based vector filters have proved successful in removing long-tailed noise from color images while preserving edges and fine image details. These filters commonly utilize variants of the Minkowski distance to order the color vectors with the aim of distinguishing between noisy and noise-free vectors. In this paper, we review various alternative distance measures and evaluate their performance on a large and diverse set of images using several effectiveness and efficiency criteria. The results demonstrate that there are in fact strong alternatives to the popular Minkowski metrics.
No associations
LandOfFree
Distance Measures for Reduced Ordering Based Vector Filters 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 Distance Measures for Reduced Ordering Based Vector Filters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distance Measures for Reduced Ordering Based Vector Filters will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-297400