是不是每次偷表情包时，都感觉模糊感, 想找一个清楚点
先观察
- 模糊的地方就是有些小黑色点
- 只需去掉小黑点，就清楚了
先看下效果
| 原图 | 修复后 |
|---|---|
 |  |
 |  |
是不是看着还不错
想思路
- 如何去掉小黑点，拿到每个像素点
- 将小黑点变成白色的就OK了
去操作
-
观察每个像素值，找到小黑点的范围
- 范围大概在 200 - 230
-
找到眼睛、嘴 的颜色，防止吧眼也变白了
- 大概在 20-140
-
遍历每个像素点
- 200 - 230 颜色加几十，变白一些，不能超过255
- 20 - 140 颜色减几十，变黑一些，不能设置0，会太黑了
-
代码思路
- 读取图片
- 遍历像素点
- 更具修复程度算出，变白或变黑
上代码
代码能力有限，写的不咋地，有兴趣可以研究一下
# !/usr/bin/python3
import threading
import uuid
from tkinter import *
from tkinter import filedialog, messagebox
import cv2
from PIL import ImageTk, Image
class MY_GUI():
def __init__(self, init_window_name):
self.init_window_name = init_window_name
self.out_frame = None
self.in_frame = None
# 绘制窗口
def set_init_window(self):
self.init_window_name.title("图片处理") # 窗口名
self.init_window_name.geometry('950x681+10+10')
self.input_label = Label(self.init_window_name, text="路径：")
self.input_label.place(x=0, y=0, width=80, height=30)
self.input_path = Entry(self.init_window_name)
self.input_path.place(x=80, y=0, width=850, height=30)
self.init_data_label = Label(self.init_window_name, text="修复前")
self.init_data_label.place(x=0, y=60, width=80, height=30)
self.result_data_label = Label(self.init_window_name, text="修复后")
self.result_data_label.place(x=550, y=60, width=80, height=30)
self.in_img_button = Button(self.init_window_name, text="选择图片", bg="lightblue", width=10,
command=self.select_in_frame)
self.in_img_button.place(x=400, y=100, width=150, height=30)
self.degree_label = Label(self.init_window_name, text="修复程度（1-10）")
self.degree_label.place(x=400, y=150, width=150, height=30)
self.degree_input = Spinbox(self.init_window_name, from_=1, to=10) # 调用内部方法 加()为直接调用
self.degree_input.place(x=400, y=180, width=150, height=30)
self.repair_button = Button(self.init_window_name, text="修复", bg="lightblue", width=10,
command=self.access_pixels)
self.repair_button.place(x=400, y=230, width=150, height=30)
self.d_img_button = Button(self.init_window_name, text="保存", bg="lightblue", width=10,
command=self.d_img)
self.d_img_button.place(x=400, y=280, width=150, height=30)
def select_in_frame(self):
path = filedialog.askopenfilename()
if path is None or path == '':
messagebox.showinfo("提示", "请选择图片")
return
self.input_path.delete(0, END)
self.input_path.insert(0, path)
frame = cv2.imread(path)
self.in_frame = frame
# 这里就修复图片的代码了
def access_pixels(self):
if self.in_frame is None:
messagebox.showinfo("提示", "请选择图片")
return
degreeStr = self.degree_input.get()
if degreeStr is None or degreeStr == '':
degreeStr = '0'
degree = int(degreeStr)
if degree < 1:
degree = 1
elif degree > 10:
degree = 10
frame = self.in_frame.copy()
print(frame.shape) # shape内包含三个元素：按顺序为高、宽、通道数
height = frame.shape[0]
weight = frame.shape[1]
channels = frame.shape[2]
showImgHeight = int(height / (weight / 400))
# 这里是转换rgb 不然 保存下来会变色
b1, g1, r1 = cv2.split(self.in_frame.copy())
rgb_img1 = cv2.merge([r1, g1, b1])
im = Image.fromarray(cv2.resize(rgb_img1, (400, showImgHeight)))
imgtk = ImageTk.PhotoImage(image=im)
self.before2_img = Label(self.init_window_name, image=imgtk).place(x=0, y=90, width=400,
height=showImgHeight)
print("weight : %s, height : %s, channel : %s" % (weight, height, channels))
for row in range(height): # 遍历高
for col in range(weight): # 遍历宽
for c in range(channels): # 便利通道
pv = frame[row, col, c]
# 这里是判断是不是小黑点
if pv > 23 * (11 - degree):
# 这里就是计算增加白色 原颜色+修复程度*10,防止太白 颜色都一样
if (pv + degree * 10) > 255:
frame[row, col, c] = 255
else:
frame[row, col, c] = (pv + degree * 10)
# 这里是判断黑色，是不是需要更黑一些
if pv < degree * 15:
frame[row, col, c] = 0
self.out_frame = frame
b, g, r = cv2.split(self.out_frame.copy())
rgb_img = cv2.merge([r, g, b])
im2 = Image.fromarray(cv2.resize(rgb_img, (400, showImgHeight)))
imgtk2 = ImageTk.PhotoImage(image=im2)
self.img2 = Label(self.init_window_name, image=imgtk2).place(x=550, y=90, width=400, height=showImgHeight)
self.img2.place()
def d_img(self):
if self.out_frame is None:
messagebox.showinfo("提示", "请先修复图片")
return
path = filedialog.askdirectory()
if path is None or path == '':
messagebox.showinfo("提示", "请选择输出路径")
return
savepath = path + "/repair-" + str(uuid.uuid4()) + ".png"
cv2.imwrite(savepath, self.out_frame)
if __name__ == '__main__':
init_window = Tk()
ZMJ_PORTAL = MY_GUI(init_window)
ZMJ_PORTAL.set_init_window()
init_window.mainloop()
复制代码代码差不多了，看看效果吧，有不懂的可以评论问
效果还行，不适用于颜色复杂的表情包, 简单的颜色还是可以的