python图片去马赛克，原文标题：几十行Python代码，修复马赛克图片。

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

1. 模糊的地方就是有些小黑色点
2. 只需去掉小黑点，就清楚了

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先看下效果

原图	修复后

是不是看着还不错

想思路

1. 如何去掉小黑点，拿到每个像素点
2. 将小黑点变成白色的就OK了

去操作

1. 观察每个像素值，找到小黑点的范围范围大概在 200 – 230
2. 找到眼睛、嘴 的颜色，防止吧眼也变白了大概在 20-140
3. 遍历每个像素点200 – 230 颜色加几十，变白一些，不能超过25520 – 140 颜色减几十，变黑一些，不能设置0，会太黑了
4. 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/python3import threadingimport uuidfrom tkinter import *from tkinter import filedialog, messageboximport cv2from PIL import ImageTk, Imageclass 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

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