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: 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: Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of specific receptive fields. The properties of the network are detailed in this paper. Simulation results show that the network is able to perform image feature extraction within a time interval of 100 ms. This processing time is consistent with the human visual system. The demonstrations show how the network can extract right-angle contours in a visual image. Based on this principle, many other image features can be extracted by analogy. The parallel processing mechanism of this network model is very promising for a hardware implementation based on VLSI or FPGA technology. Platform: |
Size: 288768 |
Author:sacoura31 |
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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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Size: 98304 |
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.
Platform: |
Size: 248832 |
Author:李继 |
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Description: 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 Platform: |
Size: 246784 |
Author:丫丫 |
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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: |
Size: 2048 |
Author:杜小三 |
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Description: 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 hide data. A fairly typical 8-bit picture of 200*200 pixels provides approximately 40 KB of data space in which to work. This is equivalent to around 5 seconds of telephone-quality audio or less than a single frame NTSC television. Platform: |
Size: 199680 |
Author:rupesh |
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Description: 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 structure, the structural similarity theory from the top down to simulate the function of the HVS. Platform: |
Size: 416768 |
Author:抓党建 |
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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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Size: 7168 |
Author:Real1 |
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Description: 参考图像质量评价，易用图像的结构信息，基于人类视觉系统。-Reference image quality evaluation, ease of use the structure of the image information, based on human visual system. Platform: |
Size: 4096 |
Author:fnayibo |
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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: 電腦視覺 影像處理 MATLAB範例 圖像識別 人眼與相機的差異-looking at the human visual system to investigate what is meant
by vision, then on to how a computer can be made to sense pictorial data and then how we
can process it. Platform: |
Size: 3154944 |
Author:raymond |
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