Description: 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 color Sinwave stimulus
func_GrayCSF -- Show Contrast Sensitive Function (CSF) via gray Sinwave stimulus
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Size: 3831 |
Author:田卉 |
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Description: 数字图像质量评价量：计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量-Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of Platform: |
Size: 1507328 |
Author:詹双环 |
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Description: 提出一种基于视觉特性的图像摘要算法，增大人眼敏感的频域系数在计算图像Hash时的权重，使得图像Hash更好地体现视觉特征，并提高鲁棒性。将原始图像的分块DCT系数乘以若干由密钥控制生成的伪随机矩阵，再对计算的结果进行基于分块的Watson人眼视觉特性处理，最后进行量化判决产生固定长度的图像Hash序列。本算法比未采用视觉特性的算法相比，提高了对JPEG压缩和高斯滤波的鲁棒性。图像摘要序列由密钥控制生成，具有安全性。-Based on the visual characteristics of the image digest algorithm, increasing the human eye-sensitive frequency-domain coefficients in the calculation of the image when the weight of Hash, Hash makes images better reflect the visual characteristics, and improve robustness. Will block the original image multiplied by the number of DCT coefficients generated by the key control of pseudo-random matrix, then the results of calculation based on the sub-block of Watson HVS treatment, and finally quantify the judgments arising from fixed-length sequence of images Hash . Than the algorithm did not use the visual characteristics of the algorithm, improve the JPEG compression and Gaussian filtering robustness. Abstract image sequence generated by the key control, with security. Platform: |
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Author:kurt |
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Description: Basic introduction to Human Visual System (HVS) Toolbox func_LuminanceMasking -- Show luminance masking effect of HVSfunc_ContrastMasking -- Show Contrast masking effect of HVSfunc_ColorCSF -- Show Contrast Sensitive Function (CSF) via color Sinwave stimulusfunc_GrayCSF -- Show Contrast Sensitive Function (CSF) via gray Sinwave stimulus File Details -Basic introduction to Human Visual System (HVS) Toolbox func_LuminanceMasking Show luminance masking effect of HVSfunc_ContrastMasking Show Contrast masking effect of HVSfunc_ColorCSF Show Contrast Sensitive Function (CSF) via color Sinwave stimulusfunc_GrayCSF Show Contrast Sensitive Function (CSF) via gray Sinwave stimulus File Details Platform: |
Size: 3072 |
Author:田卉 |
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Description: 基于人体视觉系统并且加入噪音可见函数,产生可视性水印-Based on the human visual system function and can be seen by adding noise, resulting in visibility of the watermark Platform: |
Size: 650240 |
Author:地瓜 |
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Description: 人运动的视觉分析系统一般遵从下述的处理过程：1)运动检测；2)运动目标分类；3)人的跟踪；4)行为理解与描述。这几篇文章将重点从此四个方面回顾人运动分析的目前发展水平和常用的处理方法，并对研究难点及未来的发展趋势作了较为详细的分析。-Movement of the visual analysis system to comply with the following general process: 1) Motion Detection 2) moving target classification 3) human tracking 4) acts of understanding and description. This articles will focus on four areas from the movement to recall the analysis of the current level of development and commonly used treatment methods, and research challenges and future development trend of a more detailed analysis. Platform: |
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Author:郝晓 |
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Description: 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.
3 Outline the concept of quality of service.
4 Describe the important characteristics of the human auditory system.
5 Describe the important characteristics of the human visual system. Platform: |
Size: 118784 |
Author:lkt |
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Description: 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 characteristics of human visual system to deal with in order to achieve the greatest effect of the image data compression is actually not easy to remove the eyes of those who perceived the information. Image spatial frequency is essential to human vision, the use of discrete cosine transform image can be broken down into a set of waves, each wave has a different spatial frequency, so aware of the human eye can not see the removal of information, but also to make system, only the important information. Platform: |
Size: 1024 |
Author:huoxinglin |
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Description: 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 and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, distributor or authorized consumer of a document.
A new watermarking technique to add a code to digital images is presented: the method operates in the frequency domain embedding a pseudo-random sequence of real numbers in a selected set of DCT coefficients. Watermark casting is performed by exploiting the masking characteristics of the Human Visual System, to ensure watermark invisibility. The embedded sequence is extracted without resorting to the original image, so that the proposed technique represents a major improvement to methods relying on the comparison between the watermarked and original images.
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Author:omar |
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Description: 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 of gray.
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Author:李继 |
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Description: 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 anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is 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 anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
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Author:minu |
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Description: 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. Platform: |
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Author:杜小三 |
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Description: 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, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Author:Real1 |
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Description: 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 accurately. In this paper, we exploit a
combined JND model which represents additional accurate
perceptual visibility threshold profile to guide watermarking
for digital images.
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Size: 1069056 |
Author:SKP |
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Description: 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 Platform: |
Size: 4096 |
Author:fnayibo |
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Description: 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,该算法的增强效果良
好,特别是对于图像边界处,既能很好地增强边缘对比,又可有效地提升区域亮度对比和亮度梯度信息.
-Common image enhancements based on human visual property compress the dynamic range of
images while enhancing the contrast,so that the whole contrast is not high and the effects on edges are
not satisfactory.By analyzing the global and local adaptation of the human visual system and the
transfer property of retinal ganglion cells,an algorithm for biomimetic image enhancement is proposed
in this paper.Firstly a global logarithm transformation is carried out on the whole image to adapt the
sense property of the human visual system secondly the tri-Gaussian model is adopted to adjust the
local contrast based on the local linear relationship between subjective brightness(intensity as
perceived by the human visual system)and the logarithm of the light intensity incident on the eye
finally,a linear transformation is used to convert the enhanced image back to a color image.The
experimental results show that our proposed algorithm has better performance compared to other
methods.In Platform: |
Size: 294912 |
Author:Lyan |
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Search - human visual system