本文用 Python 實現(xiàn) PS 濾鏡的波浪特效

import numpy as npfrom skimage import img_as_floatimport matplotlib.pyplot as pltfrom skimage import ioimport numpy.matlibimport math# 圖片位置file_name2=’D:/Visual Effects/PS Algorithm/4.jpg’img=io.imread(file_name2)img = img_as_float(img)row, col, channel = img.shapeimg_out = img * 1.0alpha = 70.0beta = 30.0degree = 20.0center_x = (col-1)/2.0center_y = (row-1)/2.0xx = 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 = center_y - y_maskx = degree * np.sin(2 * math.pi * yy_dif / alpha) + xx_dify = degree * np.cos(2 * math.pi * xx_dif / beta) + yy_difx_new = x + center_xy_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.imshow (img)plt.axis(’off’)plt.figure (2)plt.imshow (img_out)plt.axis(’off’)plt.show()

實現(xiàn)效果

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