Color Models for Image Decomposition

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.

Name thesis:degree_name

MS

Level thesis:degree_level

Immediate Access

Discipline thesis:degree_discipline

Computational Mathematics

Year dc:date.available

2006

Author dc:creator

• Sovak, Melissa

Contributors dc:contributor

• Stacey Levine
• John Fleming
• Kathleen Taylor

• image decomposition
• image processing
• noise removal

Language dc:language

English

Repository record dc:identifier

https://dsc.duq.edu/etd/1226

OAI identifier oai:identifier

oai:dsc.duq.edu:etd-2242