Color transfer using semantic image annotation

In this work we present an automatic local color transfer method based on semantic image annotation. With this annotation, images are segmented into homogeneous regions, assigned to seven different classes (vegetation, snow, water, ground, street, and sand). Our method permits to automatically transfer the color distribution from regions of the source and target images annotated with the same class (for example the class "sky"). The amount of color transfer can be controlled by tuning a single parameter. Experimental results will show that our local color transfer is usually more visually pleasant than a global approach. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).