Image Completion: Comparison of Different Methods and Combination of Techniques

Image completion is the process of filling missing regions of an image based on the known sections of the image. This technique is useful for repairing damaged images or removing unwanted objects from images. Research on this technique is plentiful. This thesis compares three different approaches to image completion. In addition, a new method is proposed which combines features from two of these algorithms to improve efficiency.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical Engineering

Year

2011

Author dc:creator

• LeBlanc, Lawrence

Contributors dc:contributor

• Charalampidis, Dimitrios
• Jilkov, Vesselin
• Leevongwat, Ittiphong

• Image Completion
• Image Inpainting
• Discrete Cosine Transform

Repository record dc:identifier

https://scholarworks.uno.edu/td/1326

OAI identifier oai:identifier

oai:scholarworks.uno.edu:td-2310