一种新的无损灰度图像表示方法

Wei Huang, Chuanbo Chen, M. Sarem
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引用次数: 0

摘要

虽然四叉树在图像表示和图像处理方面有很多优点,但由于过分强调分割的对称性,使得四叉树的紧凑性受到了影响。本文提出了一种无损的灰度级图像表示,即重叠矩形图像表示(ORIR)。ORIR消除了对称分割的约束,并且能够通过使用单个矩形对一些分离的像素进行编码。这些特征使ORIR具有高度紧凑的表示形式。理论分析和实验结果表明,ORIR在存储效率方面明显优于线性四叉树。
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A New Lossless Gray Level Image Representation
Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached pixels by using a single rectangle. These characteristics have made the ORIR a highly compact representation. The theoretical analyses and the experimental results in this paper show that the ORIR is greatly superior to the linear quadtree in the aspect of the memory efficiency.
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