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DenoisingAlgorithm
出自较新的国际会议论文的图像去噪算法实现。对自然图像的去噪非常有效，即可以自己实际使用，也可以进一步研究学习。(From a relatively new international conference papers realize the image denoising algorithm. Denoising of natural images are very effective, that is their actual use, can also further study.)
- 2008-04-20 14:09:53下载
- 积分：1
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ped_detector_RELEASE.tar
基于分层的HOG的行人检测，具有很高的研究价值。(HOG based pedestrian detection layered with high research value.)
- 2011-10-20 10:55:32下载
- 积分：1
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基于结构稀疏的SAR图像低秩重建
压缩感知图像处理用于SAR
经典的压缩感知教科书的源代码(compressed sensing SAT)
- 2020-11-16 19:29:40下载
- 积分：1
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Hmodel
CT的投影重建算法，图片用的MATLAB里面自带的投影算法图像，运行可显示重建结果=）(CT projection reconstruction algorithm, pictures of MATLAB inside built-in image projection algorithm, Operation results indicate reconstruction =))
- 2007-03-22 16:54:18下载
- 积分：1
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DeepPLearning_book
图像处理中的深度学习，主要是原理的讲解，比较易懂,对于。(Image processing in deep learning, mainly to explain the principle, relatively easy to understand.)
- 2013-07-24 10:58:49下载
- 积分：1
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Mirror_DImageProcess
这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)
- 2013-11-29 16:23:24下载
- 积分：1
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colorbin
统计一幅图像的颜色直方图特征，用于进行图像检索的一中方法。(Color histogram statistics of an image, for performing a method for image retri .)
- 2015-12-03 15:56:55下载
- 积分：1
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光强分布MATLAB
说明： matlab编写高斯光束高斯光束模拟的焦点附近光场分布(Matlab programming of Gaussian beam the distribution of light field near the focus of Gaussian beam simulation)
- 2020-12-03 15:19:25下载
- 积分：1
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Data Acquisition
下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
- 2017-10-09 16:29:16下载
- 积分：1
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CVPR18_TM_codes
说明： Z. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018.
- 2020-06-16 07:40:01下载
- 积分：1
