How can i overlay two images without losing the intensity of the colors of the two images.
I have Image1 and Image2:
2. 
I tried using 0.5 alpha and beta but it gives me a merged image with half the color intensity
dst = cv2.addWeighted(img1,0.5,img2,0.5,0)
but when i try using 1 to both alpha and beta channels, it only gives me the merged regions.
dst = cv2.addWeighted(img1,1,img2,1,0)
I have to get an output that looks like this.
Actually the dst is created based on following formula:
dst = src1*alpha + src2*beta + gamma
Which says that when you multiply your images that are in fact 3D arrays with alpha you are multiplying all the items. For example, for a blue pixel you have [255, 0, 0] and the white [255, 255, 255], and when you are adding the matrices together, if you want the result to be blue you should convert the white pixels to 0 which is in fact black (doesn't make sense from physics perspective tho lol). You can simply find the white pixels using advanced numpy indexing then convert them to zero.
import cv2
img1 = cv2.imread('img1.png')
img2 = cv2.imread('img2.png')
img1[img1[:, :, 1:].all(axis=-1)] = 0
img2[img2[:, :, 1:].all(axis=-1)] = 0
dst = cv2.addWeighted(img1, 1, img2, 1, 0)
cv2.imshow('sas', dst)
cv2.waitKey(0)
cv2.destroyAllWindows()
Result:
dst = img1 + img2 should work well after setting the white to black, and it's easier / shorter
dst any more. It's blue, purple and red. Because you mixed the images.
BGR,purple(255, 0, 255) = blue(255, 0, 0) + red(0, 0, 255)