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Image compression scheme based on wavelet transform and the human visual system

机译:基于小波变换和人类视觉系统的图像压缩方案

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Abstract: An image compression method based on wavelet transforms and the human visual system (HVS) is presented in this paper. In the proposed method, we emphasize on the issue of designing a quantizer for wavelet transform coefficients, which takes into account the relative importance of different coefficients in human visual perception and minimizes noise introduced in quantization. Since inmost of image processing systems, the final observer of the processed images is human beings, a distortion measurement combining human visual characteristics rather than the usually adopted mean square error to judge the quality of compressed image is presented. The images compressed with out method have less annoying effects under a higher compression ratio than that without incorporating HVS properties. !8
机译:摘要:提出了一种基于小波变换和人类视觉系统(HVS)的图像压缩方法。在所提出的方法中,我们强调了为小波变换系数设计量化器的问题,该量化器考虑了不同系数在人的视觉感知中的相对重要性,并最大程度地减少了量化中引入的噪声。由于在大多数图像处理系统中,处理过的图像的最终观察者是人,因此提出了一种结合了人类视觉特征而不是通常采用的均方误差来判断压缩图像质量的失真测量方法。与没有合并HVS属性的图像相比,在没有较高压缩率的情况下,使用out方法压缩的图像具有较少的烦人效果。 !8

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