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Using non-symmetry and anti-packing image representation model for scale images compression

In this paper, we propose a non-symmetry and anti-packing image representation model (NAM). NAM is a hierarchical image representation method and its aim is less data amount and faster operation. By taking a rectangle sub-pattern for example, we describe the idea of NAM. In this work, based on block-wise LS linear predictor method, a gray-coded bit-plane binary image NAM representation method is presented to compress the error image. The compression performance has been further improved. Experimental results show that our compression scheme is clearly better from data compression point of view than other methods.