Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

Details Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

2010-09-06

arxiv.org/abs/1009.0959v1

Journal of the Optical Society of America A 26 (2009) 1518-1524

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

10.1364/JOSAA.26.001518

Vector operators based on robust order statistics have proved successful in digital multichannel imaging applications, particularly color image filtering and enhancement, in dealing with impulsive noise while preserving edges and fine image details. These operators often have very high computational requirements which limits their use in time-critical applications. This paper introduces techniques to speed up vector filters using the minimax approximation theory. Extensive experiments on a large and diverse set of color images show that proposed approximations achieve an excellent balance among ease of implementation, accuracy, and computational speed.

Affiliated with

Also associated with

No associations

Rating

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations 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 Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-297406