LIC-based regularization of multi-valued images

In this paper, a general multi-valued image regularization method based on LIC's (line integral convolutions [B. Cabral, 1993]} is proposed. From the investigation of recent approaches based on multi-valued diffusion PDE's, we show how a regularization process is naturally decomposed, firs...

Full description

Saved in:
Bibliographic Details
Main Author: Tschumperle, D.
Format: Conference Proceeding
Language:English
Subjects:
Anisotropic magnetoresistance
Application software
Color
Computational geometry
Computer vision
Image restoration
Noise reduction
Partial differential equations
Smoothing methods
Tensile stress
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a general multi-valued image regularization method based on LIC's (line integral convolutions [B. Cabral, 1993]} is proposed. From the investigation of recent approaches based on multi-valued diffusion PDE's, we show how a regularization process is naturally decomposed, first as the estimation of its underlying smoothing geometry, and then, as the application of a locally and spatially oriented smoothing. Performing this last part using LIC's significatively improves the overall regularization process both in visual quality and processing time. We illustrate three different applications of our general regularization framework: color image denoising, inpainting and magnification.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2005.1530446