A NEW APPROACHUSING NON-SYMMETRYAND ANTI-PACKINGMODEL FOR GRAY-LEVELIMAGE REPRESENTATION

In this paper, we propose a new Non-symmetry and Anti­ packing Model (NAM) representation method for gray im­ age. By describing the NAM and Gray-Coded Bit-Plane Decomposition (GC-BPD), a novel NAM-based representa­ tion 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 representa­ tion method and is a better method to represent the gray image. The method is a new research area and it is valu­ able for the theoretical research and potential practical values such as decreasing the storage room, quickening the process procedure, matching pattern, and so on.