Image colorization using hybrid domain transform

Image colorization is the process of spreading the user specified colors to all the expected regions in image. It is a great challenge to distinguish between texture edge and object boundary. To improve the performance of colorization, we incorporate depth and texture to accurately extract boundary information in an implicit way. Inspired by the low complexity and high efficiency properties of recently proposed domain transform, we proposed a hybrid domain transform, taking corresponding depth image of the processed texture image into account, to perform colorization and recoloring. Various experimental results demonstrate that hybrid domain transform is able to achieve better edge-aware property while maintaining the property of low complexity.