Perceptual quality metrics applied to still image compression
Perceptual quality metrics applied to still image compression
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DOI：
10.1016/s0165-1684(98)00124-8
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发表时间：
1998-11-01
影响因子：
4.4
通讯作者：
Bradley, AP
中科院分区：
文献类型：
--
作者：
Eckert, MP;Bradley, AP
我们提出了一个审查的感知图像质量的指标和他们的应用程序静止图像压缩。该评论描述了如何图像质量指标可以用来指导图像压缩方案，并概述了一些质量指标的优点，缺点和局限性。我们研究了广泛的指标，从简单的数学措施，其中包括完整的感知模型。我们强调了一些变化的亮度适应和对比敏感度函数的模型，并讨论了什么似乎是缺乏一个普遍的共识，最好的描述对比度掩蔽和误差求和的模型。我们确定了各种感知组件已被纳入质量指标，并确定了一些心理物理测试技术，可用于验证的指标。最后，我们用一个简单的演示说明了整个论文中讨论的一些问题。(C)1998 Elsevier Science B.V.保留所有权利。
We present a review of perceptual image quality metrics and their application to still image compression. The review describes how image quality metrics can be used to guide an image compression scheme and outlines the advantages, disadvantages and limitations of a number of quality metrics. We examine a broad range of metrics ranging from simple mathematical measures to those which incorporate full perceptual models. We highlight some variation in the models for luminance adaptation and the contrast sensitivity function and discuss what appears to be a lack of a general consensus regarding the models which best describe contrast masking and error summation. We identify how the various perceptual components have been incorporated in quality metrics, and identify a number of psychophysical testing techniques that can be used to validate the metrics. We conclude by illustrating some of the issues discussed throughout the paper with a simple demonstration. (C) 1998 Elsevier Science B.V. All rights reserved.