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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.

Identiferoai:union.ndltd.org:uno.edu/oai:scholarworks.uno.edu:td-2310
Date20 May 2011
CreatorsLeBlanc, Lawrence
PublisherScholarWorks@UNO
Source SetsUniversity of New Orleans
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceUniversity of New Orleans Theses and Dissertations

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