An Improved Colorization Algorithm for Gray-Scale Image Based on Over-Segmentation

Colorization of gray-scale image is in general an active and challenging area of research in image processing. In this paper current colorizing algorithms are summarized, of which Levins method is analyzed in particular. According to the speed dropping of Levins method in processing large scale images, a new scheme based on over-segmentation is proposed. Experiments show that the new scheme can remarkably quicken the processing of large scale images, nearly without degrading the colorizing effect.