TY - JOUR AU - M. Olivera AU - Angel Sappa AU - Victor Santos PY - 2015// TI - A probabilistic approach for color correction in image mosaicking applications T2 - TIP JO - IEEE Transactions on Image Processing SP - 508 EP - 523 VL - 14 IS - 2 KW - Color correction KW - image mosaicking KW - color transfer KW - color palette mapping functions N2 - 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. SN - 1057-7149 UR - http://dx.doi.org/10.1109/TIP.2014.2375642 N1 - ADAS; 600.076 ID - M. Olivera2015 ER -