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.
从人的视觉特性，这一措施评估的梯度场的源图像和融合图像之间的相似度。
From human visual features, this measure evaluates the similarity of the gradient fields between the source image and fused image.
为了提高图像的清晰度使之更适合于人的视觉特性或机器的识别，需要对图像的特征或边缘进行加强。
Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.
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.
根据这一特性，提出了一种基于色彩空间参照表的适用于水果采摘机器人视觉系统果实目标提取的图像分割算法。
Based on these features, an algorithm to extract fruits object from images, which is based on the approach of color space reference list, was put forward.
这种粗糙表面可导致对光的散射，改变原有影像对光的吸收和反射的特性，从视觉上让人感觉到黑白照片影像变得模糊、淡化。
This coarse surface causes light scattering and changes original properties of the light absorption and reflection, which makes original image become fading and mildewing.
本文根据人眼的视觉特性，提供了一个对医学图像显示进行修正的方法。
This paper provides a method to modify the display effect, based on human visual property.
本文基于小波分析提出由高分辨率图像可得到各种较低分辨率图像的多分辨方法符合人的视觉系统特性。
The multiresolution image representation based on the wavelet analysis is introduced. By this way, the image resolution can be decreased in keeping with the human visual system characteristic.
RGB颜色空间内的数值参数与基于人眼颜色视觉特性的颜色类别划分具有非线性的对应关系。
There is a nonlinear relationship between the parameter values in RGB color space and color classification according to human color vision characteristics.
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.
基于人眼视觉特性的加权因子改变编码位序而不是编码值，该算法有更快的编码速度以及较好的压缩效果。
The human visual weighting factor change the order of coding rather than the value of coding. The algorithm has much faster coding speed and better compression effect.
本文论述机器人视觉常用的图象传感器的特性。
This paper discusses the characteristics of image sensors for computer vision.
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.
针对低对比度图像，结合人眼视觉神经系统的感知特性，提出了一种基于PCNN与LR模型的图像增强方法。
In this paper, a new method of low contrast image enhancement is presented based on PCNN and LR models in conjunction with characteristics of human visual consciousness.
本文提出了一种考虑人眼视觉系统特性的多聚焦图像融合算法。
In this paper, a multi focus image fusion algorithm is proposed which takes features of human vision system (HVS) into account.
这些方法既增强了图像的细节特征又符合人眼的视觉特性，提高了图像的清晰度，有效地避免了平坦区域噪声的过增强问题。
The two methods not only enhance image details but also fit in with human vision, distinct of image is improved and noise over-enhancing can be voided in flatness area.
融合过程结合人眼的视觉特性进行颜色选择，使融合图像更符合人眼视觉感受。
In the fusion processing, the paper chooses colors by vision characteristic, which made the fusion image to coincide with the sense of people eyes.
算法对传统二次率失真模型进行了改进，并结合人眼的立体视觉特性，提出了新的码率控制策略。
The conventional quadric rate-distortion model was improved and a new one was introduced by incorporating the human visual system (HVS) characteristics.
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).
本论文主要从人的视知觉基本特性出发，重点探讨网络课程界面信息的视觉呈现设计。
This thesis proceeds from studying the basic characteristics of human's visual perception, and mainly probes into the problem of information present on web-course interface.
因此提出了基于人眼视觉特性的任意形状区域丢失图像信息的重建模型。
The reconstruction model for the lost image information of the arbitrary-shape area based on the human visual characteristics is put forward.
本文提出了一种结合人眼视觉特性(HVS)的自适应水印嵌入方法的基于最优小波包基数字图像水印鲁棒性算法。
In this paper, we present a novel robust digital image watermark arithmetic based on Wavelet Packet with Best Tree with combining HVS and embedding method of image adaptive.
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.
由于图像的最终接收者是人，所以评价图像“好坏”的关键在于其是否符合人类视觉系统的特性。
Since human being is the final receiver of the image, the key point of the image assessment is that it should be in conformity with the characteristics of human visual system.
提出一种基于人眼视觉特性和改进的PCNN图像因子分解的X线医学图像增强算法。
An algorithm for medical X-ray image enhancement based on human visual properties and improved PCNN image factorization is proposed.
在第三章首先从低级的视觉感觉和高级的视觉心理角度，深入地描述了人眼的视觉特性。
In Chap 3 people eyes' visual characteristics are described accurately and deeply from low-class visual feeling to high-class visual psychology.
提出一种基于人眼视觉特性的彩色图象分割方法，不但考虑图象在各颜色坐标系下的分类，而且考虑图象色彩的相似度情况下图象的分类。
We give a color image segmentation method based on human vision property. We use not only the histogram technique but also the minimum color criterion.
实验结果证明，该方法能够较好地符合人眼的主观视觉特性。
The experimental results have shown the effectiveness of the proposal scheme. It is in better accordance with human subjective vision.
我们通过对SSIM三个评价因子分解实验，认为SSIM中最重要的结构比较因子难以完整准确的建模人眼的视觉特性。
We think that it is difficult to modeling exactly characteristics of the human visual system from the structure comparison function in SSIM.
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.
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