Reliable colorization algorithm for images and videos

In this work, we propose an efficient image and video colorization algorithm. To achieve natural colorization, we first define initial color values and compute their reliabilities. For image colorization, initial colors are assigned by the user interaction. For video colorization, initial colors are transferred from the previous frame and their reliabilities are computed based on the motion information. Then, we formulate an energy function and minimize the function to refine the initial colors. Simulation results show that the proposed algorithm provides more natural colorization results on various images and videos than the conventional algorithms.