Abstract
The Block-based Discrete Cosine Transform (BDCT) is one of the most widely used transforms in image and video coding. However, it introduces annoying blocking artifact at low data rates. A great deal of work has been done to reduce the artifact. In this paper, we propose a transform domain-based Markov Random Field (TD-MRF) model to address this problem. Based on this new model, a transform domain maximum a posteriori (MAP) algorithm is presented to remove the blocking artifacts in images and video. It is shown that our new approach can reduce the computational complexity dramatically while achieving significant visual improvements.
