Segment-based image matting using inpainting to resolve ambiguities
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2009
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Online Access: | http://hdl.handle.net/1721.1/46013 |
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author | Moh, Heng Ping Nabil Christopher |
author2 | Frédo Durand. |
author_facet | Frédo Durand. Moh, Heng Ping Nabil Christopher |
author_sort | Moh, Heng Ping Nabil Christopher |
collection | MIT |
description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. |
first_indexed | 2024-09-23T11:12:41Z |
format | Thesis |
id | mit-1721.1/46013 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T11:12:41Z |
publishDate | 2009 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/460132019-04-11T14:27:27Z Segment-based image matting using inpainting to resolve ambiguities Moh, Heng Ping Nabil Christopher Frédo Durand. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. Includes bibliographical references (p. 209-211). Image Matting and Compositing [6, 25] - the extraction of a foreground element from an image and overlaying it over a different background - are two important operations in digital image manipulation. The extraction of the foreground element and its composition over an existing background is performed using a mask known as an alpha matte, which is generated by Image Matting. The problem of Image Matting is inherently ill-posed and has no "correct" solution; however, several matting algorithms have been proposed. This thesis studies the popular Bayesian Matting [9] algorithm in detail, and documents several problems with regard to its efficiency and accuracy. Inspired by these problems, this thesis proposes two major ideas: Firstly, a new Segment-Based Matting Algorithm that incorporates shading and has a closed form solution. Secondly, a new general approach that uses Digital Inpainting - the technique of restoring defective areas in digital images - to resolve ambiguous areas in the alpha mattes. This thesis demonstrates that the combination of these ideas improves both the efficiency and accuracy of Image Matting. From the results obtained, this thesis proposes the following idea: The degree of local smoothness enforced in the alpha matte should depend on the local color distribution; the more similar the local foreground and background color distributions are, the greater the amount of smoothness enforced. by Heng Ping Nabil Christopher Moh. M.Eng. 2009-06-30T17:00:21Z 2009-06-30T17:00:21Z 2008 2008 Thesis http://hdl.handle.net/1721.1/46013 355919912 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 211 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Moh, Heng Ping Nabil Christopher Segment-based image matting using inpainting to resolve ambiguities |
title | Segment-based image matting using inpainting to resolve ambiguities |
title_full | Segment-based image matting using inpainting to resolve ambiguities |
title_fullStr | Segment-based image matting using inpainting to resolve ambiguities |
title_full_unstemmed | Segment-based image matting using inpainting to resolve ambiguities |
title_short | Segment-based image matting using inpainting to resolve ambiguities |
title_sort | segment based image matting using inpainting to resolve ambiguities |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/46013 |
work_keys_str_mv | AT mohhengpingnabilchristopher segmentbasedimagemattingusinginpaintingtoresolveambiguities |