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Is not every time steal the emoticon package, all feel fuzzy feeling, want to find a clear point
To observe the
- The blur is just little black dots
- Just remove the little black spots and you’ll be clear
Let’s see what it looks like
| The original image | After repair |
|---|---|
 |
 |
 |
 |
Doesn’t it look good
Want to thinking
- How do I get rid of the little black dots and get every pixel
- Turn the small black dots into white ones
To operate
-
Look at each pixel value to find the range of small black dots
- It’s in the 200-230 range
-
Find the color of your eyes and mouth to prevent your eyes from turning white
- In about 20-140
-
We go through each pixel
- 200-230 color add dozens, whiter, no more than 255
- 20-140, subtract dozens from the color, make it black, you can’t set zero, it’s too black
-
Code thinking
- Read the pictures
- Traverse the pixels
- More repair degree calculated, white or black
In the code
Code ability is limited, write not good, interested can study
# !/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
# Draw window
def set_init_window(self) :
self.init_window_name.title("Image manipulation") # window name
self.init_window_name.geometry('950x681+10+10')
self.input_label = Label(self.init_window_name, text="Path:")
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="Before repair")
self.init_data_label.place(x=0, y=60, width=80, height=30)
self.result_data_label = Label(self.init_window_name, text="After repair")
self.result_data_label.place(x=550, y=60, width=80, height=30)
self.in_img_button = Button(self.init_window_name, text="Select picture", 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="Degree of repair (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) Call internal method plus () for direct call
self.degree_input.place(x=400, y=180, width=150, height=30)
self.repair_button = Button(self.init_window_name, text="Repair", 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="Save", 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("Tip"."Please select a picture")
return
self.input_path.delete(0, END)
self.input_path.insert(0, path)
frame = cv2.imread(path)
self.in_frame = frame
# here is the code to fix the image
def access_pixels(self) :
if self.in_frame is None:
messagebox.showinfo("Tip"."Please select a picture")
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 contains three elements: height, width and number of channels in order
height = frame.shape[0]
weight = frame.shape[1]
channels = frame.shape[2]
showImgHeight = int(height / (weight / 400))
This is to convert RGB or save it will change color
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): # traversal is high
for col in range(weight): # traverse wide
for c in range(channels): # Easy access
pv = frame[row, col, c]
# Here is to judge whether it is a small black dot
if pv > 23 * (11 - degree):
# Here is the calculation to increase the white original color + repair degree *10, prevent too white color is the same
if (pv + degree * 10) > 255:
frame[row, col, c] = 255
else:
frame[row, col, c] = (pv + degree * 10)
# Here is to judge black, whether it needs to be more black
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("Tip"."Please fix the picture first.")
return
path = filedialog.askdirectory()
if path is None or path == ' ':
messagebox.showinfo("Tip"."Please select an output path")
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()
Copy the codeCode almost, see the effect, there are not understand can comment ask
The effect is ok, not suitable for complex colors of emojis, simple colors are ok