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BiSARBP
说明： 对于双基地SAR，使用BP算法进行成像，展示场景、回波信号、距离压缩后以及最后成像的图像。(For Bistatic SAR, BP algorithm is used to image the scene, echo signal, range compression and the final image.)
- 2020-12-30 22:28:59下载
- 积分：1
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Harris
用于相机标定的棋盘角点检测程序，包含伪角点去除，亚像素角点提取(Chessboard corner detection procedures for camera calibration, including the removal of the pseudo-corner, subpixel corner extraction)
- 2020-11-10 19:49:45下载
- 积分：1
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vibe
说明： vibe算法实现，该算法是2011年提出，具有运行占用空间小的特性(Vibe algorithm, which was proposed in 2011, has the characteristics of small running space)
- 2019-04-01 23:07:33下载
- 积分：1
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对CANNY算子进行改进
对CANNY算子进行改进，其中详细的分析了CANNY算子的原理，已经应用改进的canny算子进行边缘检测，效果较好(CANNY operator improvements, including a detailed analysis of the principle of CANNY operator has been applied to improve the canny operator edge detection, better
)
- 2020-06-27 01:40:01下载
- 积分：1
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LSB
基于LSB的音频水印嵌入提取算法，隐藏信息为一个文本文件(Extraction algorithm, the LSB-based audio watermark embedding hidden information into a text file)
- 2021-04-26 09:08:45下载
- 积分：1
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1
说明： 利用基于直方图的自适应阈值方法实现分割前景与背景a）设定三个不同阈值，直接观察分割结果；
b) 利用统计直方图，得到一个自适应的阈值.(The segmentation foreground and background a are realized by using the histogram based adaptive threshold method, and three different thresholds are set, and the segmentation results are observed directly.
B) a adaptive threshold is obtained by using the statistical histogram.)
- 2017-12-07 18:05:49下载
- 积分：1
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LSB
用matlab语言编写的lab图像水印源代码
可以进行图像的嵌入与提取(Using matlab language lab Image Watermarking source code can be embedded in images and extract)
- 2008-07-14 09:21:50下载
- 积分：1
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laplace-inverse
拉普拉斯变换的源代码，适合做图像处理及其他使用，有启发作用。(Laplace transform of the source code, suitable for image processing and other use, stimulating.)
- 2013-03-07 15:54:57下载
- 积分：1
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main
DIX公式优化求解层速度，使得速度变得更加平滑。(DIX formula optimization solution velocity, making speed becomes smoother.)
- 2013-07-23 15:52:06下载
- 积分：1
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SparseLab200-Core
基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。(In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible )
- 2010-11-07 11:15:03下载
- 积分：1
