搜索资源列表
watermarkt1
- 基于小波零树特性的视觉感知度模型的优化方案, 给出了两种水印算法: 一种算法嵌入的是高斯序列水印, 通过相关检测实现盲检测 另一种算法嵌入的是二值图像水印, 水印的提取是非盲提取。这两种算法在所有重要小波系数( 包括最低频系数) 中嵌入水印, 以达到最大化水印嵌入量的目的, 并结合感知度模型在水印的透明性和鲁棒性之间实现了较好的平衡, 对于常见的图像处理操作, 特别是对于JPEG 和小波压缩均有较好的鲁棒性。-based on wavelet zerotree visual perception
mutual
- The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
Image_matching
- 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem
z3
- 3 摘 要:研究了具有深度运动模糊效果的图像的复原算法.采用对运动模糊图像的傅里叶频谱进行 Radon 变换来估计运动模糊方向 ,在此方向上计算运动模糊图像的自相关来估计运动模糊长度 ,再 以运动模糊方向和运动模糊长度为参量结合超分辨力图像复原处理算法对比较严重的运动模糊图像进行复原.结果表明 ,该综合性算法能够较为精确地估算出运动模糊图像的模糊参量并取得较好的复原效果.-3 Abstract: The effect of motion blur with the depth of
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- 2d image phase correlation
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- 2d image phase correlation
matchbycorrelation
- Image matching by use of correlation in Matlab
BaseAutopanoramareserch
- 别对两幅图像提取广义特征点后， 利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像 的几何畸变。最后建立两幅图像之间的函数映射关系，完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two cont
MVC
- 对图像的相关性进行算法研究，制定图像压缩算法-The correlation between the image algorithm, image compression algorithm developed
Image-Recognition-Algorithm1
- 图像识别算法：二维典型相关分析在小样本图像识别上的应用！-Image recognition algorithm: two-dimensional canonical correlation analysis in image recognition on small sample application!
Image-Copy-move-forgery-and-phase-correlation
- Along with image stitching and motion direction detection, Phase correlation has important role in detection of copy move forgery.These papers elaborate role of phase correlation in "Copy Move forgery". Soon I will upload running code for this applic
ICS.m
- We can determine number densities and aggregation states using ICS. First, we calculate a 2D spatial autocorrelation function (SACF) for each image in the simulation which we created earlier:These notes are meant to serve as a very brief introduction
CS-of-multi-static-SAR
- 压缩感知在多基地合成孔径雷达中的应用，关于采样相关性与图像重建质量的关系分析-Compressed sensing applications in the multi-base synthetic aperture radar, relationship analysis on sampling correlation with the quality of image reconstruction
correlationmatlabcode
- 用于图像处理上的像素点之间相关性的计算，主要用于分析像素值之间的关联度。-For the calculation of the correlation between the pixels on the image processing
image-recognisition
- Actual applications require specifi c methods to reduce the infl uence of the correlation to distortions that appear when input images differ from their reference model. When the distortion model can be described analytically (such as
Moravec
- Moravec角点检测。算法会检测图像的每一个像素，将像素周边的一个邻域作为一个patch，并检测这个patch和周围其他patch的相关性。-Moravec corner detection. Algorithm will detect each of the pixels of the image, as a neighborhood of pixels surrounding a patch, and detecting the correlation of this patch and
image-mosaicking
- 相位相关法实现图像拼接的仿真与优化，简单易懂-Simulation and optimization of image mosaicing phase correlation method, simple and easy to understand
Phase-correlation
- 基于相位相关模板匹配的全景图像拼接,简单易懂-Panoramic image mosaicing phase correlation based on template matching, easy to understand
image-recog1
- TwoDimensional Canonical Correlation Analysis for Face Image Processing and Recognition
subpixel-image-registration
- Based on phase correlation and resampling subpixel image registration algorithm