Accession Number:

ADA522288

Title:

Automatic Image Decomposition

Descriptive Note:

Corporate Author:

MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS

Personal Author(s):

• Patwardhan, Kedar A.
• Sapiro, Guillermo

Report Date:

2004-02-01

Pagination or Media Count:

6.0

Abstract:

The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In 11, 16, the authors proposed a technique to achieve this decomposition into structure and texture. These two components are competing ones, and their proposed model has a critical parameter that controls this decomposition. In this paper we show how to automatically select this parameter, and demonstrate with examples the importance of this optimal selection.

Descriptors:

• *IMAGE PROCESSING
• PARAMETERS
• IMAGES
• IMAGE RESTORATION
• OSCILLATION
• TEXTURE
• LOW FREQUENCY
• HIGH FREQUENCY
• DIFFERENTIAL EQUATIONS

Subject Categories:

• Theoretical Mathematics
• Cybernetics
• Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE