Abstract
An approach is proposed in this paper for aligning the photographs, which are taken with varying amounts of exposure towards the same scene, and fusing into a high dynamic range image. Firstly, the median threshold images of the photograph-sequence are computed, and their image pyramids are constructed using multi-scale techniques. Comparing the image pyramids level-by-level completes shift-alignments of photographs. Based on the shift-alignments, rotation-alignments of photographs can be achieved. According to least-squares principle, the response function curve of the imaging process can be recovered; the mapping relationship between pixel values and exposures is acquired with the sample pixels from the aligned photograph-sequence. A satisfactory high dynamic range image can be constructed from the photographs. The experimental results show that the proposed approach is fast and efficacious.
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© 2006 Springer-Verlag Berlin Heidelberg
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Hua, S., Wang, L. (2006). Photographs Alignment and High Dynamic Range Image Composition Based on Varying Exposure Levels. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_119
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DOI: https://doi.org/10.1007/11941354_119
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49776-9
Online ISBN: 978-3-540-49779-0
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