Study on a Lossless Video Coding Using Markov Model Coding

Abstract

We propose a lossless video coding scheme using Markov model coding. In Markov model coding, the number of the contexts increases exponentially depending on the number of reference pixels and the gray levels of the image. In this case, the amount of code of Markov table we have to transmit also increases, Markov model coding is irrealizable. However, in this study, because we take a method to transmit one piece of Markov table per one video image sequence, we can keep an overhead low bit rate. The simulation results show that the entropy of Markov model coding using motion compensation is less than coding rates of JPEG2000.