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NSST_PAPCNN_Fusion
说明： 通过多尺度分解，实现医学图像的图像融合，达到更好的效果(Through multi-scale decomposition, medical image fusion can be achieved to achieve better results.)
- 2021-04-08 11:59:00下载
- 积分：1
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read_nc
本代码用于实现.nc文件的IDL代码打开，并且可以实现，根据经纬度找到相应的像元值(This code is used to implement. Nc file IDL code open, and can be implemented, according to the longitude and latitude as yuan values can be found)
- 2015-04-05 20:43:54下载
- 积分：1
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lineDehaze
一种基于景深的去雾方法，将按通道中的最大值和最小值作为景深基准线，计算其垂直方向上的暗通道像素均值作为透射图，实现去雾，对航拍图效果显著(A dehaze method based on the depth of field, draw a depth datum line according to the maximum value and minimum value of the dark channel, calculate the pixel of the dark channel at the line perpendicular to the depth datum line.Then the transmission map has been gotten. This method performs good especially when processing the aerial map.)
- 2016-11-11 16:53:53下载
- 积分：1
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TVdenoise
全变分去噪
J=tv(I,iter,dt,ep,lam,I0)
输入: I - 灰度图像,
iter - 迭代次数 [1],
dt - 时间步长 [0.2],
ep - 提升参数epsilon [1],
lam - 保真项 lambda [0],
I0 - 输入噪声图像 [I0=I]
([]中的是缺省值)( 全变分去噪
J=tv(I,iter,dt,ep,lam,I0)
输入: I - 灰度图像,
iter- 迭代次数 [1],
dt - 时间步长 [0.2],
ep - 提升参数epsilon [1],
lam - 保真项 lambda [0],
I0 - 输入噪声图像 [I0=I]
([]中的是缺省值))
- 2010-10-22 17:29:44下载
- 积分：1
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3
说明： 维纳滤波 最小二乘方 Lucy richardson图像复原 盲去卷积复原 图像复原法的综合比较(Wiener filtering least squares Lucy richardson image restoration blind deconvolution image restoration method to recover a comprehensive comparison)
- 2013-11-27 21:55:50下载
- 积分：1
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GI
说明： GI 鬼成像源代码,关联算法和一些数据读取存储等问题 的解决方案(ghost imaging code)
- 2013-06-03 15:03:43下载
- 积分：1
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manualhist
从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)
- 2008-01-10 11:18:41下载
- 积分：1
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fuzzyedge
图象的模糊边缘检测，用MATLAB实现的，有用户界面和检测结果！(Image fuzzy edge detection, implemented using MATLAB, user interface and test results!)
- 2012-09-09 15:50:11下载
- 积分：1
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repeatability_demo
评价描述子的好坏，能给出重叠率、正确率和查错率等(Evaluation of descriptors)
- 2014-01-16 16:44:05下载
- 积分：1
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dtcwpt
2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet(The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w)
- 2009-07-01 06:16:20下载
- 积分：1
