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首页> 外文期刊>Indian Journal of Science and Technology >Hybrid Image Compression using Modified Singular Value Decomposition and Adaptive Set Partitioning in Hierarchical Tree
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Hybrid Image Compression using Modified Singular Value Decomposition and Adaptive Set Partitioning in Hierarchical Tree

机译：改进奇异值分解和分层树中自适应集划分的混合图像压缩

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Objectives: Image communication in web applications becomes handy because of highly developed compression tools. Human eye fixate on an image’s preview, carefully adjusting the quality and optimization settings until we’ve found that sweet spot, where the file size and quality are both the best they can possibly be. Method: This paper presents a new algorithm, which uses modified singular value decomposition (SVD) and adaptive Set Partition Hierarchical Tree (ASPIHT) for grayscale image compression. This hybrid method uses modified rank one updated SVD as a pre-processing step for ASPIHT to increase the quality of the reconstructed image. Findings: The high energy compaction in SVD process offers high image quality with less compression and requires a number of bits for reconstruction. On the other hand, ASPIHT compression also offers high image quality by coding more significant coefficients adaptively with high compression at specified bitrates. The proposed method is a combination of both SVD and ASPIHT for image compression and is tested with several test images and results are compared with those of SPIHT, ASPIHT without arithmetic coding and JPEG2000. Novelty: This method improves the quality of reconstruction without altering the compression rates of SPIHT algorithm. The tabulated results show significant improvement in PSNR at higher compression ratios as compared to other methods.
机译：目标：由于高度开发的压缩工具，Web应用程序中的图像通信变得非常方便。人眼注视着图像的预览，仔细调整质量和优化设置，直到发现最佳位置，文件大小和质量均达到最佳状态。方法：本文提出了一种新算法，该算法使用改进的奇异值分解（SVD）和自适应集分区层次树（ASPIHT）进行灰度图像压缩。这种混合方法使用修改后的秩一更新的SVD作为ASPIHT的预处理步骤，以提高重建图像的质量。发现：SVD过程中的高能量压缩可提供高图像质量和更少的压缩，并且需要大量位来进行重建。另一方面，ASPIHT压缩还可以通过在指定的比特率下以高压缩率自适应地编码更重要的系数来提供高质量的图像。所提出的方法结合了SVD和ASPIHT进行图像压缩，并通过多个测试图像进​​行了测试，并将结果与​​SPIHT，没有算术编码的ASPIHT和JPEG2000进行了比较。新颖性：该方法可提高重建质量，而无需更改SPIHT算法的压缩率。列表结果显示，与其他方法相比，在较高压缩比下PSNR有了显着改善。

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