Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Do HDR displays support LDR content?: a psychophysical evaluation
ACM SIGGRAPH 2007 papers
Histogram based ghost removal in high dynamic range images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
User study in non-static HDR scenes acquisition
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Automatic noise modeling for ghost-free HDR reconstruction
ACM Transactions on Graphics (TOG)
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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.