python实现图像怀旧滤镜转换

[python]代码库

#!/usr/bin/env python
# encoding: utf-8
'''
python实现图像怀旧滤镜转换
'''
import cv2
import numpy as np


class picture:

    def __init__(self):
        self.path = 'assets/picture.jpeg'

    def hello(self):
        return self

    def run(self):
        # 读取原始图像
        img = cv2.imread(self.path)
        # 获取图像行和列
        rows, cols = img.shape[:2]
        # 新建目标图像
        dst = np.zeros((rows, cols, 3), dtype="uint8")
        # 图像怀旧特效
        for i in range(rows):
            for j in range(cols):
                B = 0.272 * img[i, j][2] + 0.534 * img[i, j][1] + 0.131 * img[i, j][0]
                G = 0.349 * img[i, j][2] + 0.686 * img[i, j][1] + 0.168 * img[i, j][0]
                R = 0.393 * img[i, j][2] + 0.769 * img[i, j][1] + 0.189 * img[i, j][0]
                if B > 255:
                    B = 255
                if G > 255:
                    G = 255
                if R > 255:
                    R = 255
                dst[i, j] = np.uint8((B, G, R))

        # 显示图像
        cv2.imshow('src', img)
        cv2.imshow('dst', dst)
        cv2.waitKey()
        cv2.destroyAllWindows()


if __name__ == '__main__':
    picture().hello().run()

[代码运行效果截图]