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Image Compression Based on an Improved SPIHT Algorithm

机译:基于改进的SPIHT算法的图像压缩

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摘要

Necessity of image compression is described. Wavelet transform is adopted for image compression. Extensive simulations are performed to justify the choice of the D 9/7 wavelet. SPIHT (Set Partition in Hierarchical Trees) is chosen for image coding and then improved to address its defects. Desirable PSNR (Power Signal-to-Noise Ratio) is achieved and the image is reconstructed clearly in the MATLAB simulations. Analysis of experimental data indicates that the proposed method achieves considerable improvement in PSNR.
机译:描述了图像压缩的必要性。小波变换用于图像压缩。进行了广泛的仿真以证明选择D 9/7小波是合理的。选择SPIHT(层次树中的集合分区)进行图像编码,然后对其进行改进以解决其缺陷。实现了理想的PSNR(功率信噪比),并在MATLAB仿真中清晰地重建了图像。对实验数据的分析表明,该方法在PSNR方面取得了相当大的改善。

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