Affine invariant total variation models

Balinsky, Helen and Balinsky, Alexander ORCID: https://orcid.org/0000-0002-8151-4462 2007. Affine invariant total variation models. [Technical Report]. Bristol: Hewlett-Packard Development Company. Available at: http://www.hpl.hp.com/techreports/2007/HPL-2007-94...

Full text not available from this repository.

Abstract

This report relates to the field of image restorations and features extracting from noisy and blurred images. Since their introduction in a classical paper by Rudin, Osher and Fatemi, Total Variation (TV) minimising models have become one of the most popular and successful tools for image restorations. Whilst invariance under affine transformations is very important for many image processing tasks, the total variation functional is not invariant under general affine transformation. In the current report we introduce for the first time a new affine invariant regularization functional which has many properties similar to total variation and can be used for affine invariant denoising and restoration tasks. The explicit formula for calculation of this regularization functional is given.

Item Type:	Monograph (Technical Report)
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Subjects:	Q Science > QA Mathematics
Uncontrolled Keywords:	Total Variation; affine restoration; Sobolev inequality; image processing
Publisher:	Hewlett-Packard Development Company
Last Modified:	19 Oct 2022 10:38
URI:	https://orca.cardiff.ac.uk/id/eprint/25037

Citation Data

Actions (repository staff only)

Edit Item