基于样条小波变换和改进SPIHT算法的高效图像压缩编解码器

2017 International Conference on High Performance Computing & Simulation (HPCS) Pub Date : 2017-07-01 DOI:10.1109/HPCS.2017.124

Rania Boujelbene, Y. Jemaa, M. Zribi

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引用次数: 5

摘要

本文提出了一种基于最优样条小波变换和改进的分层树集划分算法的高效编解码器。将所提出的编解码器与现有的基于多项式样条变换和图像压缩中常用的双正交B9/7编解码器进行了比较研究。采用峰值信噪比(PSNR)、结构相似度指数(SSIM)和编码时间进行评价。实验结果证明了所提编解码器的效率和速度。

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An Efficient Codec for Image Compression Based on Spline Wavelet Transform and Improved SPIHT Algorithm

This paper presents an efficient codec which is based on an optimal spline wavelet transform and an improved Set Partitioning in Hierarchical Trees algorithm. A comparative study of the proposed codec with the existing works using the polynomial spline based transform and the biorthogonal B9/7 which is frequently used in image compression is done. Peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM) and encoding time are used for evaluation purpose. The obtained results prove the efficiency and the speed of the proposed codec.

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来源期刊

2017 International Conference on High Performance Computing & Simulation (HPCS)

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