
Proceedings Paper
Image extrapolation for photo stitching using nonlocal patch-based inpaintingFormat | Member Price | Non-Member Price |
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Paper Abstract
Image alignment and mosaicing are usually performed on a set of overlapping images, using features in the area of
overlap for seamless stitching. In many cases such images have different size and shape. So we need to crop panoramas
or to use image extrapolation for them. This paper focuses on novel image inpainting method based on modified
exemplar-based technique. The basic idea is to find an example (patch) from an image using local binary patterns, and
replacing non-existed (‘lost’) data with it. We propose to use multiple criteria for a patch similarity search since often in
practice existed exemplar-based methods produce unsatisfactory results. The criteria for searching the best matching uses
several terms, including Euclidean metric for pixel brightness and Chi-squared histogram matching distance for local
binary patterns. A combined use of textural geometric characteristics together with color information allows to get more
informative description of the patches. In particular, we show how to apply this strategy for image extrapolation for
photo stitching. Several examples considered in this paper show the effectiveness of the proposed approach on several
test images.
Paper Details
Date Published: 22 May 2014
PDF: 10 pages
Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200W (22 May 2014); doi: 10.1117/12.2063667
Published in SPIE Proceedings Vol. 9120:
Mobile Multimedia/Image Processing, Security, and Applications 2014
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)
PDF: 10 pages
Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200W (22 May 2014); doi: 10.1117/12.2063667
Show Author Affiliations
V. V. Voronin, Don State Technical Univ. (Russian Federation)
V. I. Marchuk, Don State Technical Univ. (Russian Federation)
A. I. Sherstobitov, Don State Technical Univ. (Russian Federation)
V. I. Marchuk, Don State Technical Univ. (Russian Federation)
A. I. Sherstobitov, Don State Technical Univ. (Russian Federation)
E. A. Semenischev, Don State Technical Univ. (Russian Federation)
S. Agaian, The Univ. of Texas at San Antonio (United States)
K. Egiazarian, Tampere Univ. of Technology (Finland)
S. Agaian, The Univ. of Texas at San Antonio (United States)
K. Egiazarian, Tampere Univ. of Technology (Finland)
Published in SPIE Proceedings Vol. 9120:
Mobile Multimedia/Image Processing, Security, and Applications 2014
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)
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