parallel_algorithm_of_wavelet

着重介绍了数字水印Patchwork 算法，并且利用Matlab编程实现了这一算法(Focuses on digital watermarking Patchwork algorithm, and this algorithm Matlab programming)

暑期实习用matlab编写的一个人脸马赛克图像处理处理算法，附件同时包含了算法的原理解释(face mosaic image processing by matlab. )

图像处理中比较有用的二维图像光谱分析，Matlab源代码(Image processing more useful two-dimensional image spectra, Matlab source code)

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

这是一个实现边缘连接的程序，用于连接在一条轮廓线上的边缘点(edge link)

运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)

《A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE》基于retinex的水下图像复原算法，非常有效(" A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE" underwater retinex based image restoration algorithm is very effective)

立体匹配sad算法，matlab基于SAD法对左右两幅图片进行匹配，并生成深度图像。.m文件。(Stereo matching sad algorithm)

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.)

基于NSCT与HSI的图像融合算法，采用非下采样的Contourlet变换和HSI彩色图像融合。(image fusion algorithms based on NSCT and HSI)