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Performance evaluation of hybrid coding of images using wavelet transform and predictive coding

机译:基于小波变换和预测编码的图像混合编码性能评估

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Image compression techniques are necessary for the storage of huge amounts of digital images using reasonable amounts of space, and for their transmission with limited bandwidth. Several techniques such as predictive coding, transform coding, subband coding, wavelet coding, and vector quantization have been used in image coding. While each technique has some advantages, most practical systems use hybrid techniques which incorporate more than one scheme. They combine the advantages of the individual schemes and enhance the coding effectiveness. This paper proposes and evaluates a hybrid coding scheme for images using wavelet transforms and predictive coding. The performance evaluation is done using a variety of different parameters such as kinds of wavelets, decomposition levels, types of quantizers, predictor coefficients, and quantization levels. The results of evaluation are presented.
机译:图像压缩技术对于使用合理数量的空间存储大量数字图像以及在有限带宽下传输图像而言是必不可少的。在图像编码中已经使用了诸如预测编码,变换编码,子带编码,小波编码和矢量量化之类的几种技术。尽管每种技术都有一些优点,但是大多数实际系统都使用混合技术,这些技术结合了多个方案。它们结合了各个方案的优点,并提高了编码效率。本文提出并评估了一种基于小波变换和预测编码的图像混合编码方案。使用各种不同的参数进行性能评估,例如小波的种类,分解级别,量化器的类型,预测系数和量化级别。给出了评估结果。

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