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A Study of Image Compression Based Transmission Algorithm Using Spiht for Low Bit Rate Application

机译:低比特率应用中基于Spiht的图像压缩传输算法研究

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Image compression is internationally recognized up to the minute tools for decrease the communication bandwidth and save the transmitting power. It should reproduce a good quality image after compressed at low bit rates. Set partitioning in hierarchical trees (SPIHT) is wavelet based computationally very fast and among the best image compression based transmission algorithm that offers good compression ratios, fast execution time and good image quality. Precise Rate Control (PRC) is the distinct characteristic of SPIHT. Image compression-based on Precise Rate Control and fast coding time are principally analyzed in this paper. Experimental result shows that, in the case of low bit-rate, the modified algorithm with fast Coding Time and Precise Rate Control can reduce the execution time and improves the quality of reconstructed image in both PSNR and perceptual when compare to at the same low bit rate.
机译:图像压缩已被国际公认的最新工具,以减少通信带宽并节省发射功率。在以低比特率压缩后,它应该可以再现高质量的图像。分层树中的集划分(SPIHT)是基于小波的计算,运算速度非常快,并且是基于最佳图像压缩的传输算法,可提供良好的压缩率,快速的执行时间和良好的图像质量。精确速率控制(PRC)是SPIHT的独特特征。本文主要分析基于精确速率控制的图像压缩和快速编码时间。实验结果表明,在低比特率的情况下,与相同的低比特率相比,具有快速编码时间和精确速率控制的改进算法可以减少执行时间并提高PSNR和感知图像的重构图像质量。率。

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