Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Guest Editors' Introduction: Imaged-Based Modeling, Rendering, and Lighting
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Photorealistic rendering for augmented reality using environment illumination
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
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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.