小波滤波器在混合压缩图像编码中的比较

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT) Pub Date : 2013-04-11 DOI:10.1109/ICEVENT.2013.6496570

P. V. M. Vijayabhaskar, N. R. Raajan

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引用次数: 6

摘要

在本研究中，我们使用混合(DWT & DCT)技术对图像进行压缩。使用Haar、Daubechies、Symlets、Coiflets、BiorSplines和ReverseBior等标准小波滤波器来估计压缩性能。通常，任何压缩方法都试图减少每像素的位数，以充分表示图像。从而减少了存储必要信息所需的内存，提高了通信效率。在现代，借助小波的图像分解方法已经获得了广泛的认可。在编码部分对三种不同灰度图像进行了全标准小波滤波器的比较，并将MSE与PSNR的仿真结果制成表格。这些结果表明，Daubechies (db9)小波族在混合图像压缩方案中产生了更好的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparison of wavelet filters in image coding using hybrid compression technique

In this, we performed compression of an image by using Hybrid (DWT & DCT) technique. Standard wavelet filters of Haar, Daubechies, Symlets, Coiflets, BiorSplines & ReverseBior were used to estimate compression performance. Generally any Compression method is trying to reduce number of bits per pixel for sufficient representation of image. So memory needed for storing necessary information is reduced & communication efficiency is upgraded. In modern days, the method of image decomposition with the help of wavelets has attained an immense agreement of reputation. Totally standard wavelet filters are compared with 3 different gray images in the encoding section & tabulated the MSE Vs PSNR simulation results. These results offered that, Daubechies (db9) wavelet family produced better results with this Hybrid image compression scheme.

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来源期刊

2013 International Conference on Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT)

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