/yanghailin/p/11106480.html
# coding=utf-8
import os
import os
import cv2
import math
import numpy as np
from PIL import Image
from PIL import ImageEnhance
"""
1、对比度：白色画面(最亮时)下的亮度除以黑色画面(最暗时)下的亮度；
2、色彩饱和度：：彩度除以明度，指色彩的鲜艳程度，也称色彩的纯度；
3、色调：向负方向调节会显现红色，正方向调节则增加黄色。适合对肤色对象进行微调；
4、锐度：是反映图像平面清晰度和图像边缘锐利程度的一个指标。
"""
def compute(img):
per_image_Rmean = []
per_image_Gmean = []
per_image_Bmean = []
per_image_Bmean.append(np.mean(img[:, :, 0]))
per_image_Gmean.append(np.mean(img[:, :, 1]))
per_image_Rmean.append(np.mean(img[:, :, 2]))
R_mean = np.mean(per_image_Rmean)
G_mean = np.mean(per_image_Gmean)
B_mean = np.mean(per_image_Bmean)
return math.sqrt(0.241 * (R_mean ** 2) + 0.691 * (G_mean ** 2) + 0.068 * (B_mean ** 2))
def fun_color(image, coefficient, path_save):
# 色度,增强因子为1.0是原始图像
# 色度增强 1.5
# 色度减弱 0.8
enh_col = ImageEnhance.Color(image)
image_colored1 = enh_col.enhance(coefficient)
image_colored1.save(path_save)
def fun_Contrast(image, coefficient, path_save):
# 对比度，增强因子为1.0是原始图片
# 对比度增强 1.5
# 对比度减弱 0.8
enh_con = ImageEnhance.Contrast(image)
image_contrasted1 = enh_con.enhance(coefficient)
image_contrasted1.save(path_save)
def fun_Sharpness(image, coefficient, path_save):
# 锐度，增强因子为1.0是原始图片
# 锐度增强 3
# 锐度减弱 0.8
enh_sha = ImageEnhance.Sharpness(image)
image_sharped1 = enh_sha.enhance(coefficient)
image_sharped1.save(path_save)
def fun_bright(image, coefficient, path_save):
# 变亮 1.5
# 变暗 0.8
# 亮度增强,增强因子为0.0将产生黑色图像； 为1.0将保持原始图像。
enh_bri = ImageEnhance.Brightness(image)
image_brightened1 = enh_bri.enhance(coefficient)
image_brightened1.save(path_save)
def show_all():
file_root = "/media/data_1/data/images/"
save_root = "/media/py/save/"
list_file = os.listdir(file_root)
cnt = 0
for img_name in list_file:
cnt += 1
print("cnt=%d,img_name=%s" % (cnt, img_name))
path = file_root + img_name
name = img_name.replace(".jpg", "")
image = Image.open(path)
list_coe = [0.5,1,3]
for val in list_coe:
path_save_bright = save_root + name + "_bri_" + str(val) + ".jpg"
fun_bright(image, val, path_save_bright)
path_save_color = save_root + name + "_color_" + str(val) + ".jpg"
fun_color(image, val, path_save_color)
path_save_contra = save_root + name + "_contra_" + str(val) + ".jpg"
fun_Contrast(image, val, path_save_contra)
path_save_sharp = save_root + name + "_sharp_" + str(val) + ".jpg"
fun_Sharpness(image, val, path_save_sharp)
def my_aug():
file_root = "/media/data_1/data/images/"
save_root = "/media/data_2/ret/img_aug/"
list_file = os.listdir(file_root)
cnt = 0
for img_name in list_file:
cnt += 1
print("cnt=%d,img_name=%s" % (cnt, img_name))
path = file_root + img_name
name = img_name.replace(".jpg", "")
image = Image.open(path)
img = cv2.imread(path)
mean_1 = compute(img)
cof = 0.0
if mean_1 < 40:
cof = 3.5
elif mean_1 < 60:
cof = 3
elif mean_1 < 80:
cof = 2
elif mean_1 < 90:
cof = 1.5
elif mean_1 < 110:
cof = 1.1
elif mean_1 > 130:
cof = 0.5
else:
cof = 0.75
cof_contrast = 0.0
if cof>1:
cof_contrast = 1.5
else:
cof_contrast = 0.8
path_save_bright = save_root + name + "_bri_" + str(cof) + '.jpg'
fun_bright(image, cof, path_save_bright)
path_save_sharp = save_root + name + "_sharp_" + str(2) + '.jpg'
fun_Sharpness(image, 2, path_save_sharp)
path_save_contra = save_root + name + "_contra_" + str(cof_contrast) + ".jpg"
fun_Contrast(image, cof_contrast, path_save_contra)
path_save_color = save_root + name + "_color_" + str(1.5) + ".jpg"
fun_color(image, 1.5, path_save_color)
if __name__ == "__main__":
#show_all()
my_aug()
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