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Optical Engineering • Open Access

Assessment approach for image mosaicing algorithms
Author(s): Li-hui Zou; Jie Chen; Juan Zhang

Paper Abstract

In this paper, a novel quantitative assessment approach for image mosaicing algorithms is proposed by evaluating the quality of an output mosaic image and comparing with the input images. Five evaluation indices-entropy, clarity, registration error, peak signal-to-noise ratio, and structural similarity-are calculated and combined with the analytic hierarchy process for comprehensive assessment. This approach can overcome the lack of panoramic image and is easy to implement. Experimental results show the objectivity and the validity of the proposed approach.

Paper Details

Date Published: 1 November 2011
PDF: 4 pages
Opt. Eng. 50(11) 110501 doi: 10.1117/1.3646746
Published in: Optical Engineering Volume 50, Issue 11
Show Author Affiliations
Li-hui Zou, Beijing Institute of Technology (China)
Jie Chen, Beijing Institute of Technology (China)
Juan Zhang, Beijing Institute of Technology (China)

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