Proceedings Article10.1109/ICIP.2007.4378905
Image Stabilization Based on Fusing the Visual Information in Differently Exposed Images
Marius Tico,Markku Vehvilainen +1 more
- 12 Nov 2007
- Vol. 1, pp 117-120
TL;DR: A new approach to image stabilization based on combining information available in two differently exposed images of the same scene is introduced based on the degradation models of the two observed images, as well as by imposing an edge-preserving image prior.
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Abstract: The objective of image stabilization is to prevent or remove the motion blur degradation from images. We introduce a new approach to image stabilization based on combining information available in two differently exposed images of the same scene. In addition to the image normally captured by the system, with an exposure time determined by the illumination conditions, a very shortly exposed image is also acquired. The difference between the exposure times of the two images determines differences in their degradations which are exploited in order to recover the original image of the scene. We formulate the problem as a maximum a posteriori (MAP) estimation based on the degradation models of the two observed images, as well as by imposing an edge-preserving image prior. The proposed method is demonstrated through a series of simulation experiments, and visual examples on natural images.
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Citations
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Motion Blur Identification Based on Differently Exposed Images
Marius Tico,Mejdi Trimeche,Markku Vehvilainen +2 more
- 01 Oct 2006
TL;DR: A new method of motion blur identification that relies on the availability of two, differently exposed, image shots of the same scene to identify the point spread function (PSF) corresponding to the motion blur, that may affect the longer exposed image shot.
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Marius Tico,Sakari Alenius,Markku Vehvilainen +2 more
- 14 May 2006
TL;DR: A novel approach to global motion estimation for image stabilization application that achieves sub-pixel motion estimation accuracy close to the performance achieved by the state of the art approaches to image registration.
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