使用可变四叉树分辨率和神经网络的有效图像压缩技术

Proceedings of the Sixteenth National Radio Science Conference. NRSC'99 (IEEE Cat. No.99EX249) Pub Date : 1999-02-23 DOI:10.1109/NRSC.1999.760900

A. Wahdan, A. Badr, T. Mostafa

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引用次数: 3

摘要

我们提出利用神经网络实现四叉树图像分解的目标，以获得比主要基于神经网络的算法更好的压缩结果。迭代图像分解的过程主要基于一个恒定的块标识符，这取决于人类视觉系统的特性。

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An efficient image compression technique using variable quadtree resolution and neural networks

We propose to realize the use of quadtree image decomposition with neural networks for the target of obtaining compression results better than the algorithms that are based mainly on neural networks. The process of iterative image decomposition is based mainly on a constant block identifier which depends on the characteristics of the human visual system.

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Proceedings of the Sixteenth National Radio Science Conference. NRSC'99 (IEEE Cat. No.99EX249)

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