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bash
pip install Pillow

python
from PIL import Image

def blend_images(image_path1, image_path2, output_path, alpha1, alpha2):
    # Open the images and convert them to RGBA
    img1 = Image.open(image_path1).convert("RGBA")
    img2 = Image.open(image_path2).convert("RGBA")

    # Ensure both images have the same size
    if img1.size != img2.size:
        raise ValueError("Both images must have the same dimensions.")

    # Create a new image for the blended output
    blended_image = Image.new("RGBA", img1.size)

    # Blend the images
    for x in range(img1.width):
        for y in range(img1.height):
            # Get the pixel values of both images
            pixel1 = img1.getpixel((x, y))
            pixel2 = img2.getpixel((x, y))

            # Apply the alpha for each image
            blended_pixel = (
                int(pixel1[0] * alpha1 + pixel2[0] * alpha2),
                int(pixel1[1] * alpha1 + pixel2[1] * alpha2),
                int(pixel1[2] * alpha1 + pixel2[2] * alpha2),
                min(int(pixel1[3] * alpha1 + pixel2[3] * alpha2), 255)  # Ensure alpha is clamped
            )
            blended_image.putpixel((x, y), blended_pixel)

    # Save the blended image
    blended_image.save(output_path, "TIFF")
    print(f"Blended image saved to: {output_path}")

if __name__ == "__main__":
    # Define the paths to your TIFF images
    input_image1 = "image1.tiff"  # Change this to your first input file
    input_image2 = "image2.tiff"  # Change this to your second input file
    output_image = "blended_image.tiff"  # Change this to desired output file

    # Define alpha values for both images (0 to 1)
    alpha1 = 0.5  # Transparency of the first image
    alpha2 = 0.5  # Transparency of the second image

    # Blend the images
    blend_images(input_image1, input_image2, output_image, alpha1, alpha2)

bash
pip install Pillow

python
from PIL import Image

def convert_to_grayscale(input_path, output_path):
    # Open the TIFF image
    img = Image.open(input_path)
    
    # Convert the image to grayscale
    grayscale_img = img.convert("L")
    
    # Save the grayscale image
    grayscale_img.save(output_path, format='TIFF')

if __name__ == "__main__":
    # Specify your input and output file paths
    input_image_path = "input_image.tiff"   # Replace with your input TIFF file
    output_image_path = "output_image.tiff" # The output will also be a TIFF file
    convert_to_grayscale(input_image_path, output_image_path)

bash
pip install Pillow

python
from PIL import Image

def apply_tint(image_path, output_path, tint_color):
    # Open the image
    img = Image.open(image_path).convert("RGBA")
    
    # Create a new image for the tints
    tinted = Image.new("RGBA", img.size)
    
    # Apply the tint to each pixel
    for x in range(img.width):
        for y in range(img.height):
            r, g, b, a = img.getpixel((x, y))
            # Apply tint color
            r = int(r * tint_color[0])
            g = int(g * tint_color[1])
            b = int(b * tint_color[2])
            tinted.putpixel((x, y), (r, g, b, a))
    
    # Save the tinted image
    tinted.save(output_path, format='TIFF')

if __name__ == "__main__":
    # Define the tint color as a tuple (R, G, B) where each value is between 0 and 1
    tint_color = (1.0, 0.5, 0.5)  # Apply a red tint
    apply_tint("input_image.tiff", "output_image.tiff", tint_color)