Browsing by Author "Levine, Stacey"

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  • Ghimpeteanu, Gabriela; Batard, Thomas; Bertalmío, Marcelo; Levine, Stacey (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    In this paper, we consider an image decomposition model that provides a novel framework for image denoising. The model computes the components of the image to be processed in a moving frame that encodes its local geometry ...
  • Bertalmío, Marcelo; Levine, Stacey (Institute of Electrical and Electronics Engineers (IEEE), 2013)
    When taking pictures in a dark scene with artificial lighting, the ambient light is not sufficient for most cameras to obtain both accurate color and detail information. The exposure bracketing feature usually available ...
  • Bertalmío, Marcelo (ACM Association for Computer Machinery, 2013)
    In a stereo camera set-up for 3D cinema, much care is taken to ensure/nthat the cameras are both the same model and use identical/nparameter values. But an imperfect adjustment, the use of beam/nsplitters, as well as ...
  • Ghimpeteanu, Gabriela; Batard, Thomas; Bertalmío, Marcelo; Levine, Stacey (Springer, 2014)
    In this paper, we provide a new non-local method for image denoising. The key idea we develop is to denoise the components of the image in a well-chosen moving frame instead of the image itself.We prove the relevance ...
  • Bertalmío, Marcelo; Levine, Stacey (SIAM (Society for Industrial and Applied Mathematics), 2014)
    In this article we argue that when an image is corrupted by additive noise, its curvature image is less affected by it, i.e. the PSNR of the curvature image is larger. We speculate that, given a denoising method, we may ...
  • Ghimpeteanu, Gabriela; Kane, David; Batard, Thomas; Levine, Stacey; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    We propose a fast, local denoising method where the Euclidean curvature of the noisy image is approximated in a regularizing manner and a clean image is reconstructed from this smoothed curvature. User preference tests ...