import numpy as np
import cv2
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation, PillowWriter

# Load and resize the image
image_path = 'your_image_path_here'  # replace with your image path
image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
image_small = cv2.resize(image, (1920, 1080))  # Resize to 1080p

# Create a figure for the plot
fig, ax = plt.subplots()

# Initialize the plot with the first frame
im = ax.imshow(image_small, cmap='gray')

def update(i):
    # Create a Hann window
    window = np.hanning(image_small.shape[1])
    # Apply the window to the current slice of the image
    image_windowed = image_small.copy()
    image_windowed[:, i] = image_small[:, i] * window[i]
    # Update the plot
    im.set_array(image_windowed)

# Create an animation
ani = FuncAnimation(fig, update, frames=np.arange(0, image_small.shape[1]))

# Save the animation as a GIF
gif_path = 'windowing.gif'  # replace with your preferred path
ani.save(gif_path, writer=PillowWriter(fps=60))  # 60 FPS