Author

Melissa Sovak

Defense Date

3-30-2006

Graduation Date

2006

Availability

Immediate Access

Submission Type

thesis

Degree Name

MS

Department

Computational Mathematics

School

McAnulty College and Graduate School of Liberal Arts

Committee Chair

Stacey Levine

Committee Member

John Fleming

Committee Member

Kathleen Taylor

Keywords

image decomposition, image processing, noise removal

Abstract

Decomposing an image into components provides a method through which meaningful information can be extracted from an image. This work is a study of image decomposition techniques for color images. The decomposition of color images presents a new challenge since the choice of the color model has an effect on the resulting images. The color models are tested for both structure + noise and cartoon + texture decomposition. Numerical results demonstrate the behavior of the decomposition techniques for three different color models: RGB, HSI and CB.

Format

PDF

Language

English

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