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
Psychophysics 101: how to run perception experiments in computer graphics
ACM SIGGRAPH 2008 classes
Histogram based ghost removal in high dynamic range images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Dynamic scenes HDRI acquisition
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Real-time spherical harmonics based subsurface scattering
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
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We present a fast, robust and fully automatic method for high dynamic range (HDR) images acquisition for non-static scenes. To obtain high correctness of the approach, perceptual experiments were conducted. HDR images became popular for realistic scene acquisition, as they register much more information than standard images. The most common approach for their acquisition is a composition of photographs taken with a conventional camera. However, the approach suffers from some limitations caused by even the smallest camera movements as well as by objects in motion in the scene. The last one causes ghost artifacts visible in a final image. The key components of our technique include probability maps calculated on the basis of sequences of hand-held photographs and perceptual experiments. We obtained validation of our results by HDR VDP technique.