svt

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)

Jsteg算法实现基于JPEG图像的信息隐藏(Jsteg algorithm information hiding based on JPEG image)

说明：  fluent udf dpm particle diamter

MSER算法的实现，功能齐全，思路清晰！值得研究图像处理的人员参考！(MSER algorithm implemented, the function is all ready, clearthinking! )

4_1：生成模糊化实验图像 4_2：维纳滤波复原 4_3：约束最小二乘滤波复原 4_4：Lucy-Richardson滤波复原 4_5：盲卷积滤波复原(4_1: generate fuzzy images of experimental 4_2: 4_3 restoration Wiener filtering: constrained least squares filtering recovery 4_4: Lucy-Richardson filter recovery 4_5: Blind deconvolution filter to recover)

说明：  全变分模型主要是依靠梯度下降流岁图像进行平滑处理的模型,希望在图像的内部对图像进行平滑,使得相邻像素的差值较小(The total variation model is mainly based on the gradient descent flow year image smoothing model, hoping to smooth the image inside the image, so that the difference between adjacent pixels is small)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。(region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform)

针对空间发光点缩成光斑图像中心的高精度提取问题，本文提出一种亚像素提取方法。该方法简历了具有高斯能量分布的空间发光点的透视投影光斑图像灰度分部数学模型，证明了空间发光点能量中心的透视投影不变性。(Light-emitting points of space shrunk to spot high-precision center of the image extraction problem, we propose a subpixel extraction method. This method resumes a space with Gaussian energy distribution points of perspective projection spot light gray segment mathematical model to prove the energy center of the space light-emitting point perspective projection invariance.)

说明：  数字图像处理的常用算法总结，比如，直方图，直方图均衡化，均值滤波，中值滤波，平滑滤波等。(Commonly used digital image processing algorithms summarized, for example, histogram, histogram equalization, mean filtering, median filtering, filtering and so on.)