分形图像压缩的改进四叉树分解/重组算法

Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300) Pub Date : 1999-03-25 DOI:10.1109/SECON.1999.766136

W. Mahmoud, D. J. Jackson

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引用次数: 4

摘要

本文提出了一种分形图像压缩算法，该算法结合了经典四叉树分解(QD)方案和作者在早期论文中提出的四叉树重组方案(QR)。对于所有类型的图像，与QD和QR方案相比，新方法表现出优越的运行时性能，同时保持压缩图像的高保真度。定量结果包括获得的压缩比，信噪比(SNR)和运行时性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improved quadtree decomposition/recomposition algorithm for fractal image compression

We present a fractal image compression algorithm that combine aspects of the classical quadtree decomposition (QD) scheme and the quadtree recomposition scheme (QR) proposed by the authors in earlier papers. For all types of images, the new approach exhibits a superior runtime performance when compared to both the QD and QR schemes, while maintaining high fidelity for compressed images. Quantitative results that include the attained compression ratio, signal-to-noise ratio (SNR), and runtime performance are presented.

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来源期刊

Proceedings IEEE Southeastcon'99. Technology on the Brink of 2000 (Cat. No.99CH36300)

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