在有损图像压缩中提供所需参数的两步法的优缺点

Fangfang Li, Sergey Abramov, Ihor Dohtiev, Vladimir Lukin
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引用次数: 0

摘要

研究对象是有损图像压缩过程。研究对象是为不同编码器提供所需参数(质量和压缩率)的两步法。研究的目标是回顾有损压缩两步法的优点,分析缺点的原因,并提出克服这些缺点的可行方法。使用的方法:线性近似、数值模拟、统计分析。得出的结果1)所考虑的方法的主要优点是,在大多数应用中,与第一步相比,第二步后提供受控压缩参数的理想值的准确性有很大提高;2)该方法非常通用,可适用于不同的编码器和需要提供的不同有损压缩参数;3)主要问题和限制是由于线性近似的使用以及不同复杂度图像的速率/失真曲线行为的本质区别;4)有一些方法可以避免该方法的缺点,即采用适应图像复杂度的方法和/或在第二步使用某些限制。结论:根据研究结果,值得:1)考虑更复杂的速率-失真曲线近似值;2)更多关注压缩前表征图像复杂性的适当和快速算法;3)对给定的编码器使用具有准线性速率-失真曲线的质量指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADVANTAGES AND DRAWBACKS OF TWO-STEP APPROACH TO PROVIDING DESIRED PARAMETERS IN LOSSY IMAGE COMPRESSION
The object of the study is the process of lossy image compression. The subject of the study is the two-step approach to providing desired parameters (quality and compression ratio) for different coders. The goals of the study are to review advantages of the two-step approach to lossy compression, to analyze the reasons of drawbacks, and to put forward possible ways to get around these shortcomings. Methods used: linear approximation, numerical simulation, statistical analysis. Results obtained: 1) the considered approach main advantage is that, in most applications, it provides substantial improvement of accuracy of providing a desired value of a controlled compression parameter after the second step compared to the first step; 2) the approach is quite universal and can be applied for different coders and different parameters of lossy compression to be provided; 3) the main problems and limitations happen due to the use of linear approximation and essential difference in behavior of rate/distortion curves for images of different complexity; 4) there are ways to avoid the approach drawbacks that employ adaptation to image complexity and/or use certain restrictions at the second step. Conclusions: based on the results of the study, it is worth 1) considering more complex approximations of rate-distortion curves; 2) paying more attention to adequate and fast algorithms of characterizing image complexity before compression; 3) using quality metrics that have quasi-linear rate/distortion curves for a given coder. 
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