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Analysis of discrete wavelet based image compression technique: A review

机译:基于离散小波的图像压缩技术分析:综述

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摘要

In this paper, wavelet based coding algorithm, Set Partitioning in Hierarchical Trees (SPIHT), is considered for encoding and decoding image data. SPIHT uses recursive set partitioning procedure to sort subsets of wavelet coefficient by maximum magnitude with respect to threshold. SPIHT is simple, less complex and has very fast encoding and decoding, making it very efficient in multimedia communication. Numerical results obtained using MATLAB shows that output image has high value of peak signal to noise ratio with good compression ratio for low bit rate.
机译:在本文中,考虑基于小波的编码算法,即“分层树中的集合划分”(SPIHT),以对图像数据进行编码和解码。 SPIHT使用递归集划分程序以相对于阈值的最大幅度对小波系数的子集进行排序。 SPIHT简单,复杂度低,并且具有非常快的编码和解码,使其在多媒体通信中非常有效。使用MATLAB获得的数值结果表明,输出图像具有较高的峰值信噪比值和较低的比特率的良好压缩率。

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