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Fractal image coding system based on an adaptive side-coupling quadtree structure

机译:基于自适应侧耦合四叉树结构的分形图像编码系统

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摘要

A new fractal-based image compression system, based on a so-called Adaptive Side-Coupling Quadtree (ASCQ) structure, is proposed. The proposed system consists of three processes; a preprocessing, a compression and a decompression process. In the compression process, the original image is represented by an ASCQ structure. The set of Iterated Function System (IFS) codes, which is usually derived in the encoding process, can be calculated directly from this tree structure. Using these IFS codes, an image which is similar to the original one can be reconstructed. Unlike traditional methods, which have separate domain and range pools, the proposed ASCQ structure simultaneously contains the domain pool and range pool. Since the proposed ASCQ is an adaptive structure, the number of IFS codes will be variant depending on their corresponding original images. Experimental results show that the ASCQ structure is indeed an efficient structure for the fractal-based image compression system.
机译:提出了一种基于分形的图像压缩系统,该系统基于所谓的自适应侧耦合四叉树(ASCQ)结构。拟议的系统包括三个过程;预处理,压缩和解压缩过程。在压缩过程中,原始图像由ASCQ结构表示。通常在编码过程中得出的迭代功能系统(IFS)代码集可以直接从此树结构中计算出来。使用这些IFS代码,可以重建与原始图像相似的图像。与具有单独的域和范围池的传统方法不同,建议的ASCQ结构同时包含域池和范围池。由于建议的ASCQ是一种自适应结构,因此IFS代码的数量将根据其相应的原始图像而有所不同。实验结果表明,对于基于分形的图像压缩系统,ASCQ结构确实是一种有效的结构。

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