PT Journal AU M. Olivera Angel Sappa Victor Santos TI A probabilistic approach for color correction in image mosaicking applications SO IEEE Transactions on Image Processing JI TIP PY 2015 BP 508 EP 523 VL 14 IS 2 DI 10.1109/TIP.2014.2375642 DE Color correction; image mosaicking; color transfer; color palette mapping functions AB Image mosaicking applications require both geometrical and photometrical registrations between the images that compose the mosaic. This paper proposes a probabilistic color correction algorithm for correcting the photometrical disparities. First, the image to be color corrected is segmented into several regions using mean shift. Then, connected regions are extracted using a region fusion algorithm. Local joint image histograms of each region are modeled as collections of truncated Gaussians using a maximum likelihood estimation procedure. Then, local color palette mapping functions are computed using these sets of Gaussians. The color correction is performed by applying those functions to all the regions of the image. An extensive comparison with ten other state of the art color correction algorithms is presented, using two different image pair data sets. Results show that the proposed approach obtains the best average scores in both data sets and evaluation metrics and is also the most robust to failures. ER