Scene-Adaptive Color Transfer Model with Application for Image Compositing

Compositing is one of the most critical techniques in various aspects such as movie production and computer graphics. When images have complex textures, existing color based methods require exhaustive training samples to achieve plausible compositing results. In this paper, we propose a scene-adaptive color transfer model with an application for image compositing. We extract foregrounds from the source and target images. Then, we divide the source and target images into unequal bands according to the luminance. After that, color transfer is conducted by dynamically adjusting the weights of luminance and chrominance. To achieve a realistic composite, we introduce an adaptive source compositing region selection method and address the boundary transition by a discrete Poisson solver. The experiment results illustrate that our method achieves a faithful color transfer. In addition, our composite results appear highly realistic.