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Representation and coding of images using wavelet transform

机译:使用小波变换的图像的表示和编码

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Image coding is one of the most important applications of wavelets. There has been increasing number of reports each year since the late 1980's on the design of new wavelet coders and variations to existing ones. In this paper several wavelet-based coders are compared in their performance with still images. The aim of this work is to choose a suitable wavelet coder for intraframe coding that is needed for video compression. Two image quality metrics were used in the comparative study: the compression ratio and the conventional distortion measure, peak signal-to-noise ratio. Also, the effects of different wavelet filters are assessed. The work also aims to establish a suitable computer measure to assess the reconstructed image.
机译:图像编码是小波最重要的应用之一。自20世纪80年代后期以来,每年越来越多的报告数量是新的小波编码器和现有的变化。在本文中,将几个基于小波的编码器与静止图像进行了比较。这项工作的目的是为视频压缩所需的帧内编码选择合适的小波编码器。比较研究中使用了两个图像质量指标:压缩比和传统的失真测量,峰值信噪比。而且,评估不同小波滤波器的效果。该工作还旨在建立合适的计算机措施来评估重建的图像。

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