“Image deblurring using corresponding regions” by Ancuti, Ancuti and Bekaert

  • ©Cosmin Ancuti, Codruta Orniana Ancuti, and Philippe Bekaert

Conference:


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Title:

    Image deblurring using corresponding regions

Presenter(s)/Author(s):



Abstract:


    In recent years handheld digital cameras become very common in many householders. Taken photographs without using any additional equipment (e.g tripod) may become a very frustrating task. Every slightly shake of the camera during the exposure time increases the undesired blurring artifacts that ruin images. Adjusting the exposure time cannot solve this problem. For short exposure times, motion blur is still perceptible and, in addition, the darkness and the noise destroy important details of the images.

References:


    1. Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T., and Freeman, W. T. 2006. Removing camera shake from a single photograph. ACM Trans. Graph. 25, 3, 787–794.
    2. Lowe, D. 2004. Distinctive image features from scale-invariant keypoints. In International Journal of Computer Vision, vol. 20, 91–110.
    3. Raskar, R., Agrawal, A., and Tumblin, J. 2006. Coded exposure photography: motion deblurring using fluttered shutter. ACM Trans. Graph. 25, 3, 795–804.
    4. Rav-Acha, A., and Peleg, S. 2005. Two motion-blurred images are better than one. Pattern Recogn. Lett. 26, 3, 311–317.
    5. Yuan, L., Sun, J., Quan, L., and Shum, H.-Y. 2007. Image deblurring with blurred/noisy image pairs. In SIGGRAPH ’07: ACM SIGGRAPH 2007 papers, ACM, New York, NY, USA, 1.


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