5/3和9/7小波滤波器在一个子带图像编码研究

W. Hassen, H. Amiri
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引用次数: 4

摘要

图像压缩的目标是尽量减少冗余信息。这种冗余是由于数字图像中相邻像素之间的相关性。处理这类冗余的不同方法具有不同的效率;通常使用离散余弦变换或离散小波变换将其分解成子带。在这项工作中,我们对使用小波分解的空间子带编码感兴趣,并在此背景下对5/3和9/7小波滤波器以及解码图像质量随小波分解水平的变化进行了比较研究。我们通过客观和主观的质量评估来支持我们的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 5/3 and 9/7 wavelet filters study in a sub-bands image coding
The object of image compression is to minimize redundant information. This redundancy is due to correlation between adjacent pixels in a digital image. Different approaches with variable efficacies deal with this type of redundancy; the decomposition into sub-bands either through discrete cosine transforms or through discrete wavelet transforms is generally used. In this work, we are interested in spatial sub-bands coding with wavelet decomposition and we present in this context a comparative study between 5/3 and 9/7 wavelet filters and the variation of the decoded image quality depending on the level of wavelet decomposition. We support our study by objective and subjective quality assessments.
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