1. Image editing with spatiogram transfer
- Author
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Aurélie Bugeau, Vicent Caselles, Nicolas Papadakis, Modelling, Observations, Identification for Environmental Sciences (MOISE), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra [Barcelona] (UPF), Nicolas Papadakis acknowledges the support of the French Agence Nationale de la Recherche (ANR) under reference ANR-11-BS01-014-01. Vicent Caselles acknowledges partial support by MICINN project, reference MTM2009-08171, by GRC reference 2009 SGR 773 and by 'ICREA ICREA Acadèmia' prize for excellence in research, the last two funded by the Generalitat de Catalunya., ANR-11-BS01-0014,TOMMI,Transport Optimal et Modèles Multiphysiques de l'Image(2011), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), and Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Color histogram ,Inpainting ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Information Storage and Retrieval ,02 engineering and technology ,Image editing ,Iterative reconstruction ,computer.software_genre ,Sensitivity and Specificity ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Region of interest ,Histogram ,Image Interpretation, Computer-Assisted ,Shadow ,0202 electrical engineering, electronic engineering, information engineering ,Computer vision ,Histogram equalization ,Mathematics ,business.industry ,Reproducibility of Results ,Numerical Analysis, Computer-Assisted ,020207 software engineering ,Image Enhancement ,Computer Graphics and Computer-Aided Design ,Data Interpretation, Statistical ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,computer ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,Algorithms ,Software - Abstract
International audience; Histogram equalization is a well known method for image contrast enhancement. Nevertheless, as histograms do not include any information on the spatial repartition of colors, their application to local image editing problems remains limited. To cope with this lack of spatial information, spatiograms have recently been proposed for tracking purposes. A spatiogram is an image descriptor that combines a histogram with the mean and variance of the position of each color. In this paper we address the problem of local retouching of images by proposing a variational method for spatiogram transfer. More precisely, a reference spatiogram is used to modify the color value of a given region of interest of the processed image. Experiments on shadow removal and inpainting demonstrate the strength of the proposed approach.
- Published
- 2012
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