基于广义有限换能器的压缩域二进制形状掩模的有效处理

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI:10.1109/ISSPA.2003.1224963

Mohamed Abdel-Maguid, M. Moniri

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引用次数: 1

摘要

本文描述了一种基于置换集映射的广义有限换能器(GFT)在压缩域中处理二进制形状掩模的新算法。该算法在压缩效率和复杂度方面都优于现有算法。处理后的视觉数据保持了原有的视觉感知质量。实验结果表明了压缩效率的提高。

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Efficient processing of binary shape masks in the compressed domain using generalized finite transducers

In this paper we describe a new algorithm for binary shape masks processing in the compressed domain using generalised finite transducers [GFT] based on permutation set mapping. The proposed algorithm outperforms the existing algorithms in both compression efficiency and complexity. Moreover, the processed visual data maintain the original visual perceptual quality. Experimental results are presented to show the gain in compression efficiency.

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Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.

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