TY - GEN
T1 - Regularization of transportation maps for color and contrast transfer
AU - Rabin, Julien
AU - Delon, Julie
AU - Gousseau, Yann
PY - 2010/12/1
Y1 - 2010/12/1
N2 - In this paper, we take interest in the process of assigning a given color distribution to an image. Two examples of such image modifications are histogram equalization (or specification) and color transfer, in which the color palette of a style image is assigned to a source image. Classical methods for gray level specification, as well as more recent methods for color transfer, can be defined as optimal transportation problems. The corresponding image modifications are known to produce visually unpleasing effects such as the removal of details and texture, as well as the enhancement of noise or compression patterns. In this paper, a new method is proposed for the suppression of these artifacts. The method relies on a non local regularization of the transportation map, defined as the difference between the original image and the modified one. The interest of using this method is demonstrated on the aforementioned applications: contrast adjustment and color transfer.
AB - In this paper, we take interest in the process of assigning a given color distribution to an image. Two examples of such image modifications are histogram equalization (or specification) and color transfer, in which the color palette of a style image is assigned to a source image. Classical methods for gray level specification, as well as more recent methods for color transfer, can be defined as optimal transportation problems. The corresponding image modifications are known to produce visually unpleasing effects such as the removal of details and texture, as well as the enhancement of noise or compression patterns. In this paper, a new method is proposed for the suppression of these artifacts. The method relies on a non local regularization of the transportation map, defined as the difference between the original image and the modified one. The interest of using this method is demonstrated on the aforementioned applications: contrast adjustment and color transfer.
KW - Color transfer
KW - Contrast adjustment
KW - Histogram equalization
KW - Optimal transportation
U2 - 10.1109/ICIP.2010.5650823
DO - 10.1109/ICIP.2010.5650823
M3 - Conference contribution
AN - SCOPUS:78651078674
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1933
EP - 1936
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -