研究道路照明应以更加符合人眼视觉特性的亮度指标和可见度指标对道路照明质量进行评价。
The research on the appraisal to the road lighting quality should use luminance standard and small target visibility level which are more conform to the human eye visual characteristic.
目前，大部分PIT技术未能充分考虑人眼视觉特性，只注重重构图像的客观质量。
At present, only the objective quality of the reconstructed image rather than the characteristic of human sight is considered with most of the existing PIT techniques.
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.
论文提出了基于视觉特性、视频内容和模糊学的压缩视频感觉质量计算方法。
This paper proposes the method to measure perceptual quality of compressed video which is based on human visual features, video contents and Fuzziness.
基于人的视觉特性提出了一种图象质量的感知测量方法。
A image quality measure scheme based on the Human Visual System Characteristics was proposed.
由于图像的最终接受者是人，所以评价图像质量的关键在于其是否符合人类视觉系统特性。
Since human being is the final receiver of the image, the key point of the image assessment is that it should match the characteristics of HVS(human visual system).
由于数字图像处理结果的最终接受者是人，因此在评价图像质量时必须考虑到人类视觉系统的特性。
Since human being is the final receiver of output of digital image processing, the characteristics of human visual system (HVS) must be incorporated into the criterion of image quality evaluation.
着重讨论了基于视觉特性的图象质量测度，它们与主观评价具有很好的相关性；
Most emphases are placed on the measures of the image quality based on the visual system models, which have better correlation with the subjective evaluation.
图象质量的正确评价是图象信息工程领域内一项很有意义的研究课题，但现有的图象客观评价方法并不完全符合人眼视觉特性。
Research on right quality assessment of image is very meaningful in the image information project, but the objective quality assessment of image cannot always be in accordance with human vision.
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.
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.
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.
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