Locally adaptive image denoising by a statistical multiresolution criterion

Details Locally adaptive image denoising by a statistical multiresolution criterion Locally adaptive image denoising by a statistical multiresolution criterion

2010-01-29

arxiv.org/abs/1001.5447v1

Statistics

Methodology

Scientific paper

We demonstrate how one can choose the smoothing parameter in image denoising by a statistical multiresolution criterion, both globally and locally. Using inhomogeneous diffusion and total variation regularization as examples for localized regularization schemes, we present an efficient method for locally adaptive image denoising. As expected, the smoothing parameter serves as an edge detector in this framework. Numerical examples illustrate the usefulness of our approach. We also present an application in confocal microscopy.

Affiliated with

Also associated with

No associations

Rating

Locally adaptive image denoising by a statistical multiresolution criterion 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 Locally adaptive image denoising by a statistical multiresolution criterion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Locally adaptive image denoising by a statistical multiresolution criterion will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-677111