python實現(xiàn)圖片彩色轉化為素描

更新時間：2019年01月15日 11:25:35 作者：zh_250

這篇文章主要為大家詳細介紹了python實現(xiàn)圖片彩色轉化為素描，具有一定的參考價值，感興趣的小伙伴們可以參考一下

本文實例為大家分享了Python將圖片彩色轉化為素描的具體代碼，供大家參考，具體內(nèi)容如下

第一種：

from PIL import Image, ImageFilter, ImageOps
img = Image.open('E:\\picture\\1.png')
def dodge(a, b, alpha):
 return min(int(a*255/(256-b*alpha)), 255)
def draw(img, blur=25, alpha=1.0):
 img1 = img.convert('L') #圖片轉換成灰色
 img2 = img1.copy()
 img2 = ImageOps.invert(img2)
 for i in range(blur):   #模糊度
  img2 = img2.filter(ImageFilter.BLUR)
 width, height = img1.size
 for x in range(width):
  for y in range(height):
   a = img1.getpixel((x, y))
   b = img2.getpixel((x, y))
   img1.putpixel((x, y), dodge(a, b, alpha))
 img1.show()
 img1.save('E:\\picture\\10.png')
draw(img)

第二種：

from PIL import Image
import os
 
# 圖像組成：紅綠藍 （RGB）三原色組成 亮度（255,255,255）
image = "E:\\picture\\123.png"
img = Image.open(image)
img_all = "E:\\picture\\1234.png"
new = Image.new("L", img.size, 255)
width, height = img.size
img = img.convert("L")
# print(img.size)
# print(img.mode) #RBG
#
# img_get = img.getpixel((0, 0))
# print(img_get) #三原色通道
#
# img_L=img.convert('L')
# print(img_L)
# img_get_L=img_L.getpixel((0,0)) #換算 得到灰度值
# print(img_get_L)
 
# 定義畫筆的大小
Pen_size = 3
# 色差擴散器
Color_Diff = 6
for i in range(Pen_size + 1, width - Pen_size - 1):
 for j in range(Pen_size + 1, height - Pen_size - 1):
  # 原始的顏色
  originalColor = 255
  lcolor = sum([img.getpixel((i - r, j)) for r in range(Pen_size)]) // Pen_size
  rcolor = sum([img.getpixel((i + r, j)) for r in range(Pen_size)]) // Pen_size
 
  # 通道----顏料
  if abs(lcolor - rcolor) > Color_Diff:
   originalColor -= (255 - img.getpixel((i, j))) // 4
   new.putpixel((i, j), originalColor)
 
  ucolor = sum([img.getpixel((i, j - r)) for r in range(Pen_size)]) // Pen_size
  dcolor = sum([img.getpixel((i, j + r)) for r in range(Pen_size)]) // Pen_size
 
  # 通道----顏料
  if abs(ucolor - dcolor) > Color_Diff:
   originalColor -= (255 - img.getpixel((i, j))) // 4
   new.putpixel((i, j), originalColor)
 
  acolor = sum([img.getpixel((i - r, j - r)) for r in range(Pen_size)]) // Pen_size
  bcolor = sum([img.getpixel((i + r, j + r)) for r in range(Pen_size)]) // Pen_size
 
  # 通道----顏料
  if abs(acolor - bcolor) > Color_Diff:
   originalColor -= (255 - img.getpixel((i, j))) // 4
   new.putpixel((i, j), originalColor)
 
  qcolor = sum([img.getpixel((i + r, j - r)) for r in range(Pen_size)]) // Pen_size
  wcolor = sum([img.getpixel((i - r, j + r)) for r in range(Pen_size)]) // Pen_size
 
  # 通道----顏料
  if abs(qcolor - wcolor) > Color_Diff:
   originalColor -= (255 - img.getpixel((i, j))) // 4
   new.putpixel((i, j), originalColor)
 
new.save(img_all)
 
i = os.system('mshta vbscript createobject("sapi.spvoice").speak("%s")(window.close)' % '您的圖片轉換好了')
os.system(img_all)

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