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Basic introduction to Human Visual System (HVS) Toolbox
func_LuminanceMasking -- Show luminance masking effect of HVS
func_ContrastMasking -- Show Contrast masking effect of HVS
func_ColorCSF -- Show Contrast Sensitive Function (CSF) via
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随机序列HVS 数字水印嵌入,采用VC++实现，根据人眼视觉特性在图像中嵌入水印-HVS digital watermark embedding a random sequence, using VC++ to achieve, according to the human visual system to embed a watermark in the image
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看完这书，你应该能够：
1确定一个多媒体系统。
2描述的各种数据类型参与了多媒体系统。
3纲要的概念，服务质量。
4描述的重要特征，人类听觉系统。
5描述的重要特征，人类视觉系统。-By the end of book, you should be able to:
1 Identify a multimedia system.
2 Describe the various data types involved in a multimedia system
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JPEG压缩算法的核心是“视觉保真”原理，利用人类视觉系统特征进行处理，以达到最大图像数据压缩效果，实际上就是去除那些人眼不易觉察的信息。图像的空间频率对人的视觉至关重要，采用离散余弦变换可将图像分解成一组波，每个波有一个不同的空间频率，这样可以去除人类眼睛觉察不到的信息，而且还可使系统只保留重要的信息。-JPEG compression algorithm is the core of " visual fidelity" principle, the use of the
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Matlab source code for DCT-based watermarking for grayscale images. DCT-based watermark recovering without resorting to the uncorrupted original image. Digital watermarking has been proposed as a viable solution to the need of copyright protection an
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佛洛伊德方法用二值模型来形成多灰度图像的真实效果，希望分享-Digital halftoning is the process of converting a continuous-tone images into strictly black and white images such that, when viewed by the human visual system, the pattern creates an illusion of being a continuous shade
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一种基于小波域灰度图像盲水印的新方法，
方案中利用了人类视觉系统（HVS）特征。-A new approach for non-blind watermarking of still
gray level images in the wavelet domain.The method uses
the Human Visual System(HVS)characteristic
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一种基于人类视觉系统的视频水印的方法，该方法具有一定的实用性-The human visual system based on video watermarking method
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This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure
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基于人类视觉系统HVS的小波域数字图像水印
包含：嵌入、提取、分解、重构等-Based on human visual system HVS digital image watermarking in wavelet domain include: embedding, extraction, decomposition, reconstruction, etc.
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Data hiding in the still image presets a variety of challenges that arises due to the way human visual system (HVS) works and the typical modifications that image undergoes. Additionally, still images priced a relatively small host signal in which to
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基于结构信息提取的图像质量评价构相似性理论是一种关于图像质量评价的新思想．与自底向上地模拟人眼视觉系统(HVS)低阶的组
成结构不同，结构相似性理论自顶向下地模拟HVS的整体功能．-Theory is a kind of image quality evaluation about the new thoughts. And the simulation of human visual system (HVS) low-level group
Into different structu
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使用纠错码的基于人类视觉系统的数字水印方案(中英文翻译）-Use error-correcting codes based on human visual system digital watermark scheme (English translation)
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Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system,
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摘要：针对传统的DP算法存在条纹瑕疵，提出了一种改进的垂直性约束动态规划立体匹配算法，通过利用扫描线间的相关信息来约束动态规划过程，使得处理每一条扫描线时都能充分利用以前扫描线的匹配信息。实验结果表明，该算法可以明显地消除传统DP算法的视差图的条纹瑕疵，匹配精度高,
而且执行时间短。-ABSTRACT
Although network speed has been increased over the years,bandwidth limitation continues to pos
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Perceptual Watermarking should take full advantage of the
results from human visual system (HVS) studies. Just
noticeable difference (JND), which refers to the maximum
difference that the HVS does not perceive, gives us a way to
model the HVS
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利用图像的结构信息对图像做有参考的质量评价，基于人类视觉系统-Structural information on the use of images to do with a reference image quality evaluation, based on human visual system
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本书描述了视觉的神经机制、视觉通路和视觉反应等-The book describes the neural mechanisms of visual, visual pathway and visual responses
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常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整
体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞
感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度
对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯
模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该
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visual cryptography using dwt-svd paper
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