Browsing by Author "Ghimpeteanu, Gabriela"

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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 ...
  • 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 ...
  • Ghimpeteanu, Gabriela; Batard, Thomas; Seybold, Tamara; Bertalmío, Marcelo (The Society for Imaging Science and Technology (IS&T), 2016)
    State-of-the-art denoising methods achieve impressive results, even for large noise levels. However, they can not be implemented in camera hardware, mainly due to the fact that they are computationally too intensive. The ...
  • 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 ...
  • Ghimpeteanu, Gabriela (Universitat Pompeu Fabra, 2018-01-23)
    Noise acquisition is an unavoidable component when capturing photographs, even in the case of current state of the art cameras. This problem is even accentuated when the lighting conditions are not ideal. Therefore, removing ...