A NEW APPROACHUSING NON-SYMMETRYAND ANTI-PACKINGMODEL FOR GRAY-LEVELIMAGE REPRESENTATION
2009
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.
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