Python实现PS滤镜的万花筒效果示例

Python  /  管理员 发布于 7年前   171

本文实例讲述了Python实现PS滤镜的万花筒效果。分享给大家供大家参考，具体如下：

这里用 Python 实现 PS 的一种滤镜效果，称为万花筒。也是对图像做各种扭曲变换，最后图像呈现的效果就像从万花筒中看到的一样：

图像的效果可以参考附录说明。具体Python代码如下：

import matplotlib.pyplot as pltfrom skimage import iofrom skimage import img_as_floatimport numpy as npimport numpy.matlibimport mathfile_name='D:/Visual Effects/PS Algorithm/4.jpg';img=io.imread(file_name)img = img_as_float(img)row, col, channel = img.shape# set the parametersradius = 100.0angle = math.pi/3angle2 = math.pi/4sides = 10.0# set the center of the circle, proportion of the image sizecenterX = 0.5centerY = 0.5iWidth=coliHeight=rowcenter_x=iWidth*centerXcenter_y=iHeight*centerYxx = np.arange (col)yy = np.arange (row)x_mask = numpy.matlib.repmat (xx, row, 1)y_mask = numpy.matlib.repmat (yy, col, 1)y_mask = np.transpose(y_mask)xx_dif = x_mask - center_xyy_dif = y_mask - center_yr = np.sqrt(xx_dif * xx_dif + yy_dif * yy_dif)theta = np.arctan2(yy_dif, xx_dif+0.0001) - angle - angle2temp_theta=theta/math.pi*sides*0.5temp_r = np.mod(temp_theta, 1.0)mask_1 = temp_r < 0.5theta = temp_r * 2 * mask_1 + (1-temp_r) * 2 * (1 - mask_1)radius_c=radius/np.cos(theta)temp_r = np.mod (r/radius_c, 1.0)mask_1 = temp_r < 0.5r = radius_c * (temp_r * 2 * mask_1 + (1-temp_r) * 2 * (1 - mask_1))theta = theta + anglex1_mask = r * np.cos(theta) + center_xy1_mask = r * np.sin(theta) + center_ymask = x1_mask < 0x1_mask = x1_mask * (1 - mask)mask = x1_mask > (col - 1)x1_mask = x1_mask * (1 - mask) + (x1_mask * 0 + col -2) * maskmask = y1_mask < 0y1_mask = y1_mask * (1 - mask)mask = y1_mask > (row -1)y1_mask = y1_mask * (1 - mask) + (y1_mask * 0 + row -2) * maskimg_out = img * 1.0int_x = np.floor (x1_mask)int_x = int_x.astype(int)int_y = np.floor (y1_mask)int_y = int_y.astype(int)p_mask = x1_mask - int_xq_mask = y1_mask - int_yimg_out = img * 1.0for ii in range(row):  for jj in range (col):    new_xx = int_x [ii, jj]    new_yy = int_y [ii, jj]#    p = p_mask[ii, jj]#    q = q_mask[ii, jj]    img_out[ii, jj, :] = img[new_yy, new_xx, :]plt.figure (1)plt.imshow (img)plt.axis('off')plt.figure (2)plt.imshow (img_out)plt.axis('off')plt.show()

附：PS 滤镜万花筒效果原理

  clc;  clear all;  close all;  addpath('E:\PhotoShop Algortihm\Image Processing\PS Algorithm');  I=imread('4.jpg');  I=double(I);  Image=I/255;  sz=size(Image);  % set the parameters  radius = 150;  angle = pi/4;  angle2=pi/4;  sides=10;  centerX = 0.5;  % set the center of the circle, proportion of the image size  centerY = 0.5;  iWidth=sz(2);  iHeight=sz(1);  icenterX=iWidth*centerX;  icenterY=iHeight*centerY;  Image_new=Image;  for i=1:sz(1)    for j=1:sz(2)      dx=j-icenterX;      dy=i-icenterY;      r=sqrt(dy*dy+dx*dx);      theta=atan2(dy, dx)-angle-angle2;      temp_theta=theta/pi*sides*0.5 ;      theta=triangle(temp_theta);      if (radius)        c=cos(theta);        radius_c=radius/c;        r=radius_c * triangle(r/radius_c);      end      theta=theta+angle;      x=r * cos(theta)+icenterX;      y=r * sin(theta)+icenterY;      if (x<=1)   x=1; end      if (x>=sz(2)) x=sz(2)-1; end;      if (y>=sz(1)) y=sz(1)-1; end;      if (y<1) y=1;   end;  % % %     if (x<=1)   continue; end  % % %     if (x>=sz(2))  continue; end;  % % %     if (y>=sz(1)) continue; end;  % % %     if (y<1) continue;   end;      x1=floor(x);      y1=floor(y);      p=x-x1;      q=y-y1;      Image_new(i,j,:)=(1-p)*(1-q)*Image(y1,x1,:)+p*(1-q)*Image(y1,x1+1,:)...        +q*(1-p)*Image(y1+1,x1,:)+p*q*Image(y1+1,x1+1,:);    end  end  imshow(Image_new)  imwrite(Image_new, 'out.jpg');

参考来源：http://www.jhlabs.com/index.html

原图：

效果图：

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