Python实现PS滤镜功能之波浪特效示例_Python

本文实例讲述了Python实现PS滤镜功能之波浪特效。分享给大家供大家参考，具体如下：

这里用 Python 实现 PS 滤镜的波浪特效，具体效果可以参考附录说明

									import numpy as np

									from skimage import img_as_float

									import matplotlib.pyplot as plt

									from skimage import io

									import numpy.matlib

									import math

									file_name2='D:/Visual Effects/PS Algorithm/4.jpg'

									img=io.imread(file_name2)

									img = img_as_float(img)

									row, col, channel = img.shape

									img_out = img * 1.0

									alpha = 70.0

									beta = 30.0

									degree = 20.0

									center_x = (col-1)/2.0

									center_y = (row-1)/2.0

									xx = 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_x

									yy_dif = center_y - y_mask

									x = degree * np.sin(2 * math.pi * yy_dif / alpha) + xx_dif

									y = degree * np.cos(2 * math.pi * xx_dif / beta) + yy_dif

									x_new = x + center_x

									y_new = center_y - y 

									int_x = np.floor (x_new)

									int_x = int_x.astype(int)

									int_y = np.floor (y_new)

									int_y = int_y.astype(int)

									for ii in range(row):

									  for jj in range (col):

									    new_xx = int_x [ii, jj]

									    new_yy = int_y [ii, jj]

									    if x_new [ii, jj] < 0 or x_new [ii, jj] > col -1 :

									      continue

									    if y_new [ii, jj] < 0 or y_new [ii, jj] > row -1 :

									      continue

									    img_out[ii, jj, :] = img[new_yy, new_xx, :]

									plt.figure (1)

									plt.title('www.zyiz.net')

									plt.imshow (img)

									plt.axis('off')

									plt.figure (2)

									plt.title('www.zyiz.net')

									plt.imshow (img_out)

									plt.axis('off')

									plt.show()

附录：PS 滤镜——波浪 wave

									%%% Wave

									%%% 波浪效果

									clc;

									clear all;

									close all;

									addpath('E:\PhotoShop Algortihm\Image Processing\PS Algorithm');

									I=imread('4.jpg');

									Image=double(I);

									% Image=0.2989 * I(:,:,1) + 0.5870 * I(:,:,2) + 0.1140 * I(:,:,3);

									[row, col,channel]=size(Image);

									R=floor(max(row, col)/2);

									Image_new=Image;

									Degree=30;  % 控制扭曲的程度

									Center_X=(col+1)/2;

									Center_Y=(row+1)/2;

									for i=1:row

									  for j=1:col

									    x0=j-Center_X;

									    y0=Center_Y-i;

									    x=Degree*sin(2*pi*y0/128)+x0;

									    y=Degree*cos(2*pi*x0/128)+y0;

									    x=x+col/2;

									    y=row/2-y;

									    if(x>1 && x<col && y<row && y>1)

									      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

									end

									figure, imshow(Image_new/255);