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PiQ: Perceptual Image Quantizer for Wavelet Image Coders

机译:PiQ:小波图像编码器的感知图像量化器

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The aim of this work is to explain how to apply perceptual criteria in order to define a perceptual forward and inverse quantizer. We present its application to the Hi-SET coder. Our approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Taking in to account that noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 coder and the combination of Hi-SET with the proposed perceptual quantizer (xSET) shows that the latter is not favorable in PSNR than the former, but the recovered image is more compressed (less bit-rate) at the same or even better visual quality measured with well-know image quality metrics, such as MSSIM, UQI or VIF, for instance.
机译:这项工作的目的是解释如何应用感知标准来定义感知前向和逆向量化器。我们将其应用程序介绍给Hi-SET编码器。我们的方法包括使用人类视觉系统的某些行为属性对小波变换系数进行量化。考虑到噪声对图像压缩性能是致命的,因为噪声既会给观察者带来烦恼,又会在传输图像时消耗过多的带宽。感知量化减少了无法察觉的细节,因此改善了视觉印象和传输特性。 JPEG2000编码器与Hi-SET与拟议中的感知量化器(xSET)的组合之间的比较表明,后者在PSNR方面不如前者,但在相同或相同的情况下,恢复的图像压缩程度更高(比特率更低)例如,使用众所周知的图像质量指标(例如MSSIM,UQI或VIF)所测量的视觉质量甚至更高。

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