Title :
Image Editing With Spatiograms Transfer
Author :
Papadakis, Nicolas ; Bugeau, Aurélie ; Caselles, Vicent
Author_Institution :
Lab. Jean Kuntzmann (LJK), INRIA, Grenoble, France
fDate :
5/1/2012 12:00:00 AM
Abstract :
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 been recently proposed for tracking purposes. A spatiogram is an image descriptor that combines a histogram with the mean and the 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.
Keywords :
image colour analysis; image enhancement; image reconstruction; color value; histogram equalization; image contrast enhancement; image descriptor; image editing; image inpainting; image local retouching; shadow removal; spatiogram transfer; Cloning; Convergence; Histograms; Image color analysis; Image reconstruction; Minimization; Three dimensional displays; Image editing; shadow removal; spatiogram/histogram transfer; Algorithms; Data Interpretation, Statistical; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2012.2183144