Ghost Removal in High Dynamic Range Images

Date

2006-10-11

Author

Khan, Erum Arif
Akyüz, Ahmet Oğuz
Reinhard, Erik

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Image generation, Pattern recognition

URI

https://hdl.handle.net/11511/41927

DOI

https://doi.org/10.1109/icip.2006.312892

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

E. A. Khan, A. O. Akyüz, and E. Reinhard, “Ghost Removal in High Dynamic Range Images,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41927.