Abstract
We present fast, robust and fully automatic method for high dynamic range images acquisition for non-static scenes. The key components of our technique are probability maps calculated from sequences of hand-held photographs. In practice, several basic problems occur with image sequences used for creating HDR images. Firstly, camera movement causes images to misalign, what results in blurred output image. Secondly, ob jects in the scene are in movement, causing ghost artifacts. In our method we focus on removing such artifacts in order to generate sharp HDR images. We validate our results via HDR VDP and compare them with other known approaches.
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Tomaszewska, A., Markowski, M. (2010). Dynamic Scenes HDRI Acquisition. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_35
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DOI: https://doi.org/10.1007/978-3-642-13775-4_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
Online ISBN: 978-3-642-13775-4
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