Abstract
In this paper, an improved algorithm based on EZBC and its implementation architecture with low complexity and high performance are presented. The proposed algorithm utilizes the significance state table of quadtree nodes and the context look-up table to control the coding passes and form the context, so the proposed algorithm requires low memory and has low implementation complexity with the nearly same performance.