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。
In this paper, we propose a new bit-rate transcoding method for MPEG video streams, which can utilize human visual system characteristics adequately.
本文根据人类视觉系统特性及硬件实现的考虑，对已有的去振铃滤波算法进行了改进。
With the consideration of human visual system and hardware implementation, some improvements are made to current deranging algorithm in this paper.
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).
该方案结合逐次逼近量化的思想根据图像小波分解后系数的多分辨特点来模拟人类视觉系统特性，并在图像试验中结合感兴趣区域进行编码。
The scheme simulates HVS with the idea of SAQ based on the character of MRA of image coefficients after wavelet transform, which is put into experiments with ROI encoding.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
人类视觉系统具有一些基本的特性。
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.
本文基于人类视觉系统(HVS)的特性，提出了一种结合空间域和DCT变换域的数字水印新算法。
Based on the features of human visual system (HVS) a new watermarking algorithm that combines spatial and DCT domain is proposed for digital images in this paper.
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。
Wavelet transform has good air-frequency characteristics, but also a good match human visual system, but also with the new JPEG2000 standard compatible.
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。
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.
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.
利用人类视觉系统对文本行间距和行起始位置的信息不敏感这一特性，提出了一种增加信息隐藏容量的基于文本的信息隐藏算法。
Presents an algorithm of text steganography according to the insensitivity of HVS( Human Vision System) to space of lines and the original place in each row.
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。
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.
人类视觉系统反应了人类的脑眼系统对颜色的感知特性。
The human Vision System reflects the perceptual character of human eyes.
利用人类视觉系统的纹理掩蔽特性和照度掩蔽特性自适应调整量化间距，以保证水印的透明性。
It utilizes the HVS peculiarity to change the quantization interval adaptively and ensure the visibility of the watermark.
通过对马赫带现象的检测，说明相位一致性模型更符合人类视觉系统的特性。
Testing on the features detection in Mach bands also shows the consistency wi…
通过对马赫带现象的检测，说明相位一致性模型更符合人类视觉系统的特性。
Testing on the features detection in Mach bands also shows the consistency wi…
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