A new approach using Non-symmetry and Anti-packing model for gray-level image representation

In this paper, we propose a new Non-symmetry and Anti-packing Model (NAM) representation method for gray image. By describing the NAM and Gray-Coded Bit-Plane Decomposition (GC-BPD), a novel NAM-based representation algorithm for gray image is presented. The theoretical analyses and experimental results show that the NAM-based representation method can reduce the data storage much more effectively than the linear quadtree-based representation method and is a better method to represent the gray image. The method is a new research area and it is valuable for the theoretical research and potential practical values such as decreasing the storage room, quickening the process procedure, matching pattern, and so on.