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
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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()
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附录:PS 滤镜——波浪 wave
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% % % 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 );
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本例Python运行效果:
原图
效果图
希望本文所述对大家Python程序设计有所帮助。
原文链接:http://blog.csdn.net/matrix_space/article/details/72329722