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875天前#!/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() |
