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首页> 外文期刊>International Journal of Wavelets, Multiresolution and Information Processing >IMPLEMENTATION OF ZERO TREE WAVELET CODERS IN DSP PROCESSOR
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IMPLEMENTATION OF ZERO TREE WAVELET CODERS IN DSP PROCESSOR

机译:DSP处理器中零树小波编码器的实现

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With the fast evolution of Multimedia systems, Image compression algorithms are very much needed to achieve effective transmission and compact storage by removing the redundant information of the image data. Wavelet transforms have received significant attention, recently, due to their suitability for a number of important signal and image compression applications and the lapped nature of this transform and the computational simplicity, which comes in the form of filter bank implementations. In this paper, the implementation of image compression algorithms based on discrete wavelet transform such as embedded zero tree wavelet (EZW) coder, set partitioning in hierarchical trees coder without lists (SPIHT - No List) and packetizable zero tree wavelet (PZW) coder in DSP processor is dealt in detail and their performance analysis is carried out in terms of different compression ratios, execution timing and for different packet losses. PSNR is used as the criteria for the measurement of reconstructed image quality.
机译:随着多媒体系统的快速发展,通过去除图像数据的冗余信息,非常需要图像压缩算法来实现有效的传输和紧凑的存储。最近,由于小波变换对许多重要信号和图像压缩应用的适用性以及这种变换的重叠性质和计算简单性(以滤波器组实现的形式),引起了极大的关注。本文提出了一种基于离散小波变换的图像压缩算法的实现,如嵌入式零树小波(EZHT)编码器,无列表的分层树编码器中的集划分(SPIHT-No List)和可打包的零树小波(PZW)编码器。详细讨论了DSP处理器,并根据不同的压缩率,执行时间和针对不同的数据包丢失进行了性能分析。 PSNR用作测量重建图像质量的标准。

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