【作者】 王怡影；

【导师】 明军；

【作者基本信息】 安徽大学 ， 电磁场与微波技术， 2012， 硕士

【摘要】 在对图像质量评价方法的研究中,HVS模型充当了一个重要的角色,它的引入使得图像质量的评价结果更加符合人眼的主观感受,大大克服了传统图像质量评价方法的缺点。由于HVS模型涉及到了人眼的生理特性,给研究工作带来了一定的难度,为此,需要将HVS模型的各个组成部分分开研究。掩盖效应作为其中的一部分,它的研究是对HVS模型深入了解的必经之路,也是图像质量评价方法发展道路上的奠基石。本文着重研究了掩盖模型,根据标准图像不同类型给出了新的图像质量评价方法,并且进一步考察了误差图像对图像质量评价模型的影响。主要研究工作及成果如下：1.对已有的关于掩盖效应的知识归纳总结,并对每种掩盖效应的物理概念、实验参数和计算公式等内容做出了说明。2.根据韦勃—费赫涅耳定律,就掩盖阂值的测量给出了详细的方法、步骤和结果,并将掩盖阈值的计算结果应用到掩盖效应的模型计算中。3.针对掩盖效应的不同类型,给出了相应的图像质量评价方法,其中包含基本思路、数学模型和编程步骤,并对实验结果进行分析。4.将空间相似性与掩盖效应相结合,提出了一种基于掩盖模型空间相似性的图像质量评价方法。该方法考察了误差图像的无关分量和相关分量,并且对两个误差分量无关分量和三个误差分量无关分量做出比较,通过实验平台的建立和对大量图像的考察,得出实验数据及分析结果。经过大量的实验证明,本方法较之传统方法有明显提高,更加贴近人眼主观感受。更多还原

【Abstract】 In the study of image quality evaluation method, the HVS model serves as an important position, it makes the image quality evaluation results are more consistent with human subjective feelings, greatly overcome the disadvantages of traditional image quality evaluation method. Because HVS model relates to the human physiological characteristics, it brings a certain degree of difficulty to research work. For this, we need to research each component of the HVS model separately. Masking effect as part of the HVS model, it’s research is the only way which must be passed to the HVS model in-depth understanding, is also the foundation stone of image quality evaluation method development road.This paper focuses on the study of masking model, gives new image quality assessment methods based on different types of standard image, and further investigated the impact of the error image on the image quality evaluation model. Major research work and achievements are as follows:1. Summarize the existing knowledge on the masking effect, and make notes of each masking effect’s physical concepts, experimental parameters and calculate formula and other content to.2. According to Weber-Fechner’s law, it gives a detailed methods, procedures and results of masking threshold measurements. The masking threshold calculation results are applied to the calculation of masking effect model.3. For different types of masking effect, we have given the corresponding image quality evaluation method, which contains the basic idea, the mathematical model and the programming steps. Analyze the experimental results.4. Combining spatial similarity and masking effect, this paper presents the image quality evaluation method based on masking model and spatial similarity. The method examines the error image’s unrelated component and related component, and makes a comparison on the two error component’s unrelated component and three error component’s unrelated component. Through the experimental platform and a large number of investigation of image, we can get the experimental data and analysis results.After a lot of experiments proved that this method has obviously improved, and more closer to the human subjective experience than the traditional methods.更多还原