G11-2024

import cv2 as cv

import numpy as np

overlap = 200  # Overlapping region width

# Load the images

left = cv.imread("left.png", cv.IMREAD_COLOR)

right = cv.imread("right.png", cv.IMREAD_COLOR)

# Display shapes of the images

print(f"Left Shape: {left.shape}")

print(f"Right Shape: {right.shape}")

# Assuming both images have the same height

height = left.shape[0]

# Define the x-coordinate of where the overlap starts in the left image (end of left image - overlap)

left_overlap_start = left.shape[1] - overlap

# Extract the overlapping region

left_overlap = left[0:height, left_overlap_start:,:]

# Example modification: Increase the brightness of the blue channel in the overlap region

left_overlap_mod = cv.convertScaleAbs(left_overlap, alpha=0.5, beta=0)  # Adjust brightness

# Replace the modified blue channel back into the original left image

left[0:height, left_overlap_start:,:] = left_overlap_mod

# Display the modified original image with the blue overlap replaced

cv.imshow("Modified Left Image", left)

cv.imshow("Modified Left Overlap Blue Channel", left_overlap_mod)

cv.waitKey(0)

cv.destroyAllWindows()