一种基于视觉感知特征的半色调图像质量评价方法。
A new method to evaluate halftoned image quality that depends on the visual perception characteristics.
图像质量评价是图像和视频处理系统中的基本算法。
Image quality assessment is fundamental importance for image or video processing system.
通常可将数字图像质量评价分为主观评价和客观评价。
Digital image quality assessment usually can be divided into subjective assessment and objective assessment.
在图像质量评价中加入人眼视觉系统特性能够提高其评价性能。
An image quality evaluation model that considers characteristics of the human visual system should improve its performance.
最后，融合各个块的相似度信息获得最终的图像质量评价结果。
Finally, the ultimate image quality is calculated by combining structural similarities of all blocks according to their weights.
合理的数字半色调图像质量评价指标是图像再现技术评价的关键。
The logical digital halftone image quality evaluation index is the key of image reproduction technical.
图像质量评价的研究已成为图像信息工程中重要的基础研究课题之一。
Research on quality assessment of digital images is meaningful for the image processing engineering.
最后，引入了图像质量评价标准和系统信噪比，分析对比了实验数据。
Furthermore, the evaluation criterion of reconstructed image and the Signal to Noise Ratio (SNR) of the system were discussed to analyze the experimental data.
图像质量评价方法的研究已经成为图像信息工程中重要的研究课题之一。
Researches on image quality assessment are meaningful and basic for the image processing engineering.
该文提出一种基于频域的结构相似度(FSSIM)的图像质量评价方法。
This paper presents a frequency domain-based structural similarity (FSSIM) method for image quality assessment.
为了认定打印文件的来源，提出一种基于字符图像质量评价的打印机取证方法。
A new printer forensics method based on character image quality measures is put forward to identify the source of printed files.
本文主要介绍多排螺旋CT图像质量评价主要参数以及每种参数的主要影响因素。
This paper mainly introduced the important parameters for image quality of Multislice ct. The influencing factors of these parameters were also discussed.
在采集一幅图像时，增加了数字图像质量评价函数的计算，来检测图像的清晰度。
In gathering image digital image quality evaluating function is added, so it can detect image definition.
目前，图像质量评价研究的主要困难是主观质量评价和客观质量评价之间存在偏差。
There is some difference between the subjective quality assessing and objective quality assessing which lower the quality assessing model's performance.
图像质量评价研究的目标是设计算法，给出和人的主观视觉感受相符合的评价结果。
Its objective is to design algorithms which can give the objective evaluation results that in line with the human's subject perception.
文中针对含噪图像的质量评价，提出一种基于人眼视觉特性的盲图像质量评价算法。
A novel blind image quality assessment method based on property of HVS was proposed to evaluate the quality of noisy image.
本文提出的图像质量评价计算新算法是建立在系统的理论分析和大量的实验基础之上的。
The proposed new calculation method of image quality evaluation is based on a large number of systems theory and experiments.
本文首先对图像质量评价的相关研究进行了简要的概述，重点讨论了无参考质量评价方法。
At first the related researches of image quality assessment have been briefly summarized, especially no-reference methods.
目前的图像质量评价方法很难有效地评价失真模糊图像，其评价结果往往不符合人眼主观评价。
The existed image Quality assessment methods hardly can assess distorted image effectively. The result usually can't match up to the human visual assessment.
由于探测器传递给我们的最终是一幅图像信息，因而从图像质量评价的角度对干扰效果进行评估。
As the detector transfers to us is a picture, the disturbing effect is evaluated with the disturbing image.
通过色彩空间转换，并使用最新的色差公式定义了彩色图像感知色差峰值信噪比等图像质量评价指标。
Through the transformation of color space and the use of the up-to-date formula of color difference, the evaluating index such as SCAPSNR of the colorful images is defined.
然后分析了目前图像质量评价的现状，基于传播波方程的图像恢复方法提出了一种客观的质量评价准则；
It also analyzes status of image quality assessment and introduces an image quality objective assessment rule based on traveling wave equation.
图像质量评价是图像处理领域中的重要方向，传统的图像质量评价方法不能有效的反映人眼对图像的视觉感知。
Image quality evaluation is an important field of image processing, but classical image quality evaluation method can not represent knowledge perceived by human eyes.
聚焦是针对兴趣区域的聚焦，聚焦评价函数完成对兴趣区域的离焦程度评价，它是一种有参考的图像质量评价。
FMF evaluates the defocus degree of interesting region image. Focus measurement is a kind of reference image quality evaluation.
作为图像处理领域中一项基础而且富有挑战的工作，客观图像质量评价自动评价图像质量使得符合人眼视觉特性。
Objective image quality measure, which is a fundamental and challenging job in image processing, evaluates the image quality consistently with human perception automatically.
统计分析结果显示，“感知质量”与“熵”的相关性系数只有0.41，说明熵统计方法在彩色夜视融合图像质量评价上存在困难。
Experimental result shows that the correlation coefficient between perceptual quality and entropy is only 0.41, the entropy method is difficult to assess color fusion images for night vision.
实验结果表明，该质量评价方法反映了虹膜图像的真实质量水平，能够显著提高识别系统的整体性能。
The experiment results show that this evaluation system can reflect the real quality of images and thus significantly improve the overall performance of the iris recognition system.
用主观和客观方法评价压缩图像质量。
The quality of image compression was evaluated by subjective and objective methods.
最后，在虹膜识别系统上进行虹膜图像质量的评价工作。
At last, the appraisal of iris image quality on the iris recognition system is discussed in the paper.
并给出一种评价增强图像质量的准则。
A new criterion to evaluate quality of enhanced image was proposed.
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