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Journal Article Quantitative Quality Assessment of Stitched Panoramic Images
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Authors
H.S. Qureshi, M.M. Khan, R. Hafiz, Y. Cho, J. Cha
Issue Date
2012-12
Citation
IET Image Processing, v.6, no.9, pp.1348-1358
ISSN
1751-9659
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/iet-ipr.2011.0641
Abstract
In this study, the authors present quantitative quality assessment indices for measuring geometric and photometric qualities of stitched panoramic images, since both geometric and photometric qualities are important for obtaining a seamless panoramic image. For geometric quality assessment, our approach is based on the use of structural similarity (SSIM) index between the high-frequency information (HFI) of both geometrically corrected unstitched images and the stitched panoramic image. This measure is called 'HFI_SSIM'. The complementary low-frequency information from the same pair of images is used for assessing the photometric quality of the stitched image using the spectral angle mapper and intensity magnitude ratio measures. The proposed quality metrics are tested on both synthetic and true datasets comprising of indoor and outdoor scenes. The results obtained, highlight the interest of using the proposed quantitative measures for assessing the quality of stitched panoramic images. © The Institution of Engineering and Technology 2012.
KSP Keywords
Assessment indices, Frequency information, High frequency(HF), Low frequency, Panoramic image, Quality Metrics, Quantitative measure, Spectral angle mapper, Structural similarity (SSIM) index, Structure Similarity Index measure(SSIM), quality assessment