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基于平滑约束的小波图像压缩量化方法。

Smoothness-constrained quantization for wavelet image compression.

出版信息

IEEE Trans Image Process. 1999;8(12):1807-11. doi: 10.1109/83.806625.

Abstract

Uniform quantization of wavelet coefficients introduces perceptually disturbing artifacts by decreasing the visual smoothness. In this paper, the local Holder regularity is used to quantify these changes in visual smoothness. A modified uniform quantization scheme that constrains local regularity reduction is proposed. The quantizer modification is applicable to any uniform quantization scheme and requires no additional side information to be transmitted to the decoder, unlike standard deadzone quantizers. The reconstructed images show a noticeable perceptual improvement as well as an increased PSNR relative to uniform quantization.

摘要

小波系数的均匀量化通过降低视觉平滑度引入了感知干扰的伪像。在本文中,局部霍尔德正则性用于量化视觉平滑度的这些变化。提出了一种约束局部正则性降低的改进均匀量化方案。与标准的死区量化器不同,这种量化器修改适用于任何均匀量化方案,并且不需要向解码器传输额外的附加信息。与均匀量化相比,重建图像的感知质量有了明显的提高,PSNR 也有所提高。

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