Segment-based image matting using inpainting to resolve ambiguities

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.

Bibliographic Details
Main Author: Moh, Heng Ping Nabil Christopher
Other Authors: Frédo Durand.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46013
_version_ 1826198990089093120
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