Distribution Model between Objective Measurement and Subjective Measurement

N. Yamsang, S. Udomhunsakul
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引用次数: 3

Abstract

Evaluation of the quality of image compression still remains an important issue. In this work, we propose the new objective measurements, which are developed from five traditionally simple measurements (Mean Square Error, Edge Measurement, Correlation Measurement, Visual Human System and Spectral Measurement). In our study, we evaluated the quality of the compressed gray-scale images using both objective and subjective tests. We found the relationship between objective and subjective measurements from the distribution data that can be modeled and defined by exponential least square method. From the experimental results, the reliabilities (Correlation coefficient) of our new proposed measurements are better than five traditionally simple measurements.
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客观测量与主观测量的分布模型
图像压缩质量的评价仍然是一个重要的问题。在这项工作中,我们提出了一种新的客观测量方法,它是在五种传统的简单测量方法(均方误差、边缘测量、相关测量、视觉人体系统和光谱测量)的基础上发展起来的。在我们的研究中,我们使用客观和主观测试来评估压缩后的灰度图像的质量。我们从可以用指数最小二乘法建模和定义的分布数据中发现了客观测量和主观测量之间的关系。从实验结果来看,我们提出的新测量方法的信度(相关系数)优于传统的五种简单测量方法。
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