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Conference Paper

Robust Generation of High Dynamic Range Images


Akyuz,  AO
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Khan, E., Akyuz, A., & Reinhard, E. (2006). Robust Generation of High Dynamic Range Images. In 2006 IEEE International Conference on Image Processing (ICIP 2006) (pp. 2005-2008). Los Alamitos, CA, USA: IEEE Computer Society.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CFD5-2
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the final image. We use a non-parametric model for the static part of the scene, and a pixel's membership in this model determines its weight. In contrast to previous approaches, our technique does not rely on explicit object detection, tracking, or pixelwise motion estimates. Ghost-free images of different scenes demonstrate the effectiveness of our technique.