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watermark_2
- 提出了一种离散小波变换域实现图像水印的方法。这种算法充分利用小波变换的特点,把原始图像及水印图像塔式分解,在多分辨率分解后的相同的频段来嵌入水印信息。该方法也利用了人眼视觉特性,算法简单而有效。实验证明,该算法较好地解决了水印不可见性与鲁棒性之间的矛盾,对常见的水印攻击都有较强的鲁棒性。-presents a discrete wavelet transform domain image watermarking method. This algorithm using wavelet tran
WaveletTransformsinMATLAB
- 执行一维和二维小波变换在MATLAB环境中。十几包括的小波函数有： * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexit
watermark_image
- 结合离散小波变换(DWT)技术，利用DWT与HVS相结合的良好特性，探索和建立了一种新的图像质量客观评价方法-taking advantage of the similarities of discrete wavelet transform (DWT) with HVS，a new methods for integrated image quality assessment
DigitalWatermarkingonStillImagesUsingWaveletTransf
- 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
BasedonHVSdigitalimagewatermarkinginwaveletdomain.
- 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.
DWTImageWatermark
- 基于小波变换和HVS的图像水印算法研究,好的论文。-HVS Based on Wavelet Transform and Image Watermarking Algorithm
watermarkcleck-door
- 小波变换域图像水印算法是一种对图像多尺度的空间频率分解[13]，能更好地与人类视觉系统（HVS Human Visual System）相匹配。由于小波变换具有良好的时频局部性和多分辨率表示的特点，而且，当前最新的图像压缩标准——JPEG2000 和视频的MPEG-7 压缩标准都采用了小波变换，-The wavelet transform domain image watermarking algorithm is a multi-scale image of the spatial frequ
Digital-Watermarking
- 基于小波变换和HVS的数字水印算法研究，采用小波变换算法给图像嵌入数字水印。-Digital watermarking algorithm based on wavelet transform and HVS embedded digital watermark to the image using wavelet transform algorithm.
hvs
- HVS人体视觉小波水印 小波水印分为三步： 分解，嵌入，重构，提取 HVS人体视觉：着重在于三个系数的使用-HVS human visual watermark wavelet wavelet watermark divided into three steps: decomposition, embedded, reconfigurable, extract HVS human visual: focus on is the use of three factor
2
- In this paper, a new scaling-based image-adaptive watermarking system has been presented, which exploits human visual model for adapting the watermark data to local properties of the host image. Its improved robustness is due to embedding in