图像的混合与渐进变换

1.实验目的

平常我们看到的美图秀秀等两个图片混合是怎么生成的呢，今天我们看看图像处理关于这部分怎么做的？

2.实验条件

pycharm + python编译器

3.实验代码

# @File: 图像混合与渐进变换.py
# @Author: chen_song
# @Time: 2024/6/11 下午6:08
"""
200 OpenCV examples by youcans / OpenCV 例程 200 篇
Copyright: 2022, Shan Huang, youcans@qq.com
"""

# 【0503】图像混合与渐变切换
import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt

if __name__ == '__main__':
    img1 = cv.imread("../images/Lena.tif")  # 读取彩色图像(BGR)
    img2 = cv.imread("../images/Fig0301.png")  # 读取彩色图像(BGR)
    h, w = img1.shape[:2]
    img3 = cv.resize(img2, (w,h))  # 调整图像大小与 img1 相同
    print(img1.shape, img2.shape, img3.shape)
    imgAddCV = cv.add(img1, img3)  # 图像加法 (饱和运算)

    # 两幅图像的加权加法，推荐 alpha+beta=1.0
    alpha, beta = 0.25, 0.75
    imgAddW1 = cv.addWeighted(img1, alpha, img3, beta, 0)
    alpha, beta = 0.5, 0.5
    imgAddW2 = cv.addWeighted(img1, alpha, img3, beta, 0)
    alpha, beta = 0.75, 0.25
    imgAddW3 = cv.addWeighted(img1, alpha, img3, beta, 0)

    # 两幅图像的渐变切换
    wList = np.arange(0.0, 1.0, 0.05)  # start, end, step
    for weight in wList:
        imgWeight = cv.addWeighted(img1, weight, img3, (1-weight), 0)
        cv.imshow("ImageAddWeight", imgWeight)
        cv.waitKey(100)
    cv.destroyAllWindows()

    plt.figure(figsize=(9, 3.5))
    plt.subplot(131), plt.title("(1) a=0.2, b=0.8"), plt.axis('off')
    plt.imshow(cv.cvtColor(imgAddW1, cv.COLOR_BGR2RGB))
    plt.subplot(132), plt.title("(2) a=0.5, b=0.5"), plt.axis('off')
    plt.imshow(cv.cvtColor(imgAddW2, cv.COLOR_BGR2RGB))
    plt.subplot(133), plt.title("(3) a=0.8, b=0.2"), plt.axis('off')
    plt.imshow(cv.cvtColor(imgAddW3, cv.COLOR_BGR2RGB))
    plt.tight_layout()
    plt.show()