In this paper, we propose a new bit-rate transcoding method for MPEG video streams, which can utilize human visual system characteristics adequately.
提出了一种充分利用人类视觉系统特性的MPEG视频码流码率转换方法。
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 be in conformity with the characteristics of human visual system.
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。
An image quality evaluation model that considers characteristics of the human visual system should improve its performance.
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。
Wavelet transform has good air-frequency characteristics, but also a good match human visual system, but also with the new JPEG2000 standard compatible.
小波变换具有良好的空频特性，而且能够很好地匹配人类视觉系统，同时也与新的JPEG2000标准相兼容。
First, human visual system and its characteristics are introduced together with the main artifacts in video coding and the subjective and objective standards to measure those artifacts.
首先就人类视觉系统及其特性和视频编码中的主要误差及误差衡量的主客观标准进行了简介。
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.
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。
The conventional quadric rate-distortion model was improved and a new one was introduced by incorporating the human visual system (HVS) characteristics.
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。
According to the characteristics of human visual system, a salient object detection method based on spectral residual and multi-resolution is proposed.
根据人类视觉系统的特点，提出一种融合谱残差和多分辨率分析的显著目标检测方法。
We think that it is difficult to modeling exactly characteristics of the human visual system from the structure comparison function in SSIM.
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。
By analyzing the characteristics of the brightness and contrast characteristic of the human visual system, an adaptive visible watermarking algorithm based on DCT was proposed in this paper.
分析人类视觉系统的亮度和对比度特性，提出了一种DCT域自适应可见水印算法。
Based on the characteristics of human visual system in the interpolation process, the more accurate brightness information and edge information of the image can be obtained.
插值过程中利用了人眼的视觉特性，能够更精确地得到图像的亮度信息和边缘信息。
Based on the characteristics of human visual system in the interpolation process, the more accurate brightness information and edge information of the image can be obtained.
插值过程中利用了人眼的视觉特性，能够更精确地得到图像的亮度信息和边缘信息。
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