本文实例讲述了Python实现PS图像调整颜色梯度效果。分享给大家供大家参考,具体如下:
这里用 Python 实现 PS 中的色彩图,可以看到颜色的各种渐变,具体的效果可以参考附录说明
和之前的程序相比,这里利用矩阵的运算替代了 for 循环,提升了运行的效率。
import numpy as npimport matplotlib.pyplot as pltfrom skimage import ioimport numpy.matlibfrom skimage import img_as_floatfile_name='D:/Visual Effects/PS Algorithm/4.jpg';img=io.imread(file_name)img = img_as_float(img)row, col, channel = img.shaperNW = 0.5rNE = 1.0rSW = 1.0rSE = 0.0gNW = 0.0gNE = 0.5gSW = 0.0gSE = 1.0bNW = 1.0bNE = 0.0bSW = 1.0bSE = 0.0xx = 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)fx = x_mask * 1.0 / colfy = y_mask * 1.0 / rowp = rNW + (rNE - rNW) * fxq = rSW + (rSE - rSW) * fxr = ( p + (q - p) * fy )r[r<0] = 0r[r>1] =1p = gNW + (gNE - gNW) * fxq = gSW + (gSE - gSW) * fxg = ( p + (q - p) * fy )g[g<0] = 0g[g>1] =1p = bNW + (bNE - bNW) * fxq = bSW + (bSE - bSW) * fxb = ( p + (q - p) * fy )b[b<0] = 0.0b[b>1] = 1.0img[:, :, 0] = rimg[:, :, 1] = gimg[:, :, 2] = bplt.figure(1)plt.imshow(img)plt.axis('off');plt.show();
附录:PS 色调— —颜色梯度
clc; clear all; close all; addpath('E:/PhotoShop Algortihm/Image Processing/PS Algorithm'); I=imread('4.jpg'); Image=double(I)/255; [height, width, depth]=size(Image); rNW=1.0; gNW=0.0; bNW=0.0; rNE=1.0; gNE=1.0; bNE=0.0; rSW=0.0; gSW=0; bSW=1.0; rSE=0.0; gSE=1.0; bSE=0.0; Img_new=Image; for ii=1:height for jj=1:width fx = jj / width; fy = ii / height; p = rNW + (rNE - rNW) * fx; q = rSW + (rSE - rSW) * fx; r = ( p + (q - p) * fy ); r = min(max(r, 0), 1); p = gNW + (gNE - gNW) * fx; q = gSW + (gSE - gSW) * fx; g = ( p + (q - p) * fy ); g = min(max(g, 0) ,1); p = bNW + (bNE - bNW) * fx; q = bSW + (bSE - bSW) * fx; b = ( p + (q - p) * fy ); b = min(max(b, 0), 1); Img_new(ii, jj, 1)=r; Img_new(ii, jj, 2)=g; Img_new(ii, jj, 3)=b; end end imshow(Img_new); imwrite(Img_new, 'out.jpg');
参考来源:http://www.jhlabs.com/index.html
本例Python运行效果图:
原图:
运行效果:
希望本文所述对大家Python程序设计有所帮助。
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