Quiet: Faster Belief Propagation for Images and Related Applications

It can be used in image morphing to Belief propagation over Markov random fields has change an image into another through a seamless transition been successfully used in many AI applications in the field of computer art [Lipski et al., 2010]. Other than since it yields accurate inference results by iteratively above, belief propagation is used in a variety of applications updating messages between nodes. However, such as image restoration [Felzenszwalb and Huttenlocher, its high computation costs are a barrier to practical 2006], computer-assisted colorization [Noma et al., 2009], use. This paper presents an efficient approach to and image segmentation [Zhao et al., 2014]. We omit detail belief propagation.