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   视觉系统特性 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.066秒
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  characters of hvs
    This paper proposes a new algorithm which is based on the characters of HVS(human visual system)and embed the watermarks with visually recognizable patterns. This algorithm classifies the blocks of image into different kinds and embed different strength wartmarking component into the middle-frequency DCT coefficient of corresponding kind of image block.
    提出了一种采用可视模板作为水印信号,利用人的视觉系统特性,将图象块进行分类,通过在不同类图象块DCT域中修改中频系数来嵌入不同强度水印的算法,可分别应用于私有水印和公有水印。
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  visual system characteristics
    A New Aligned with Human Visual System Characteristics Wavelet and its Application
    log Gabor函数在人类视觉系统特性研究中的应用
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Digital watermarking has been proposed as viable solution to the need of copyright protection and other application such as information hiding,since it makes possible to identify the author,owner,distributor or authorized consumer of a document.A new technique to embed the mark signal into the image is introduced.The method operates in the frequency domain to modify the DCT coefficients of an image and then uses the characteristic of Human Visual System (HVS) to enhance the robustness of the watermark and avoid...

Digital watermarking has been proposed as viable solution to the need of copyright protection and other application such as information hiding,since it makes possible to identify the author,owner,distributor or authorized consumer of a document.A new technique to embed the mark signal into the image is introduced.The method operates in the frequency domain to modify the DCT coefficients of an image and then uses the characteristic of Human Visual System (HVS) to enhance the robustness of the watermark and avoid the perceptibility of human eyes.Experimental results demonstrate that the watermark is robust to most of the signal processing techniques and geometric distortions.

首先分析了人眼视觉系统的特性,提出了一种利用人眼视觉掩蔽效应,以获得较好鲁棒性和不为人眼所感知的数字水印方法.实验结果表明,这一方法具有较好的特性.最后结合实验给出了对彩色图像进行数字水印处理的方法.

An image compression method with Visual Entropy-Based segmentation is presented. Firstly the induction of the characteristics of Human Vision System(HVS) and the principles for Visual Entropy- based segmentation is made. Then the mathematic definition for quantification of image character and the algorithm for Visual Entropy-Based segmentation are fully described. The experimental results have shown that image compression with Visual Entropy-Based segmentation can not only gets a rather low bit rate but also...

An image compression method with Visual Entropy-Based segmentation is presented. Firstly the induction of the characteristics of Human Vision System(HVS) and the principles for Visual Entropy- based segmentation is made. Then the mathematic definition for quantification of image character and the algorithm for Visual Entropy-Based segmentation are fully described. The experimental results have shown that image compression with Visual Entropy-Based segmentation can not only gets a rather low bit rate but also gives satisfactory subjective perceptual quality. This method has well emulated the properties of HVS.

基于视觉熵概念提出了一种静止图像分割压缩方法.通过对人类视觉系统特性的归纳,总结了基于视觉熵的图像分割原理,提出了用于量化图像特征的数学定义和基于视觉嫡的分割算法.实验结果表明,这种基于视觉熵的图像分割压缩算法既提高了压缩比,又能保证压缩后的重建图像整体上具有高的主观视觉感知质量.

This paper proposes a new method of digital watermark for image signals based on the wavelet transform.This method does not require the original image.Watermark is embedded in reasonably selective coefficient by use of wavelet transform decomposing the image into independent frequency band and different space direction.Visual masking is implicit due to the time-frequency localization and suitable to the human visual system properties of the DWT.So this method results in significant amount of computational savings...

This paper proposes a new method of digital watermark for image signals based on the wavelet transform.This method does not require the original image.Watermark is embedded in reasonably selective coefficient by use of wavelet transform decomposing the image into independent frequency band and different space direction.Visual masking is implicit due to the time-frequency localization and suitable to the human visual system properties of the DWT.So this method results in significant amount of computational savings at the same time good quality of image can be kept.

文章提出了一种在小波变换域中给图像加水印的方法,并且该方法在水印检测中不要求使用原始图像。利用小波变换把图像在独立的频带和不同空间方向上进行分解,通过在合理选择的频带系数上嵌入水印。由于小波的时频局域性及与人类视觉系统特性相结合的特点,使得可隐含地使用视觉掩蔽。所以该方案能在保持良好的图像质量的同时大大减少计算量。

 
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