Image Processing: Blur, Grayscale, and Average Color Background

This function loads an image from a specified path, applies a blur filter to the image, converts it to grayscale, then gets the average color of the grayscale image. Finally, it creates a new image with the average color as its background and saves the processed image to the specified path.

Technology Stack : Pillow

Code Type : The type of code

Code Difficulty : Intermediate

                
                    
def random_image_color(arg1, arg2):
    from PIL import Image, ImageFilter, ImageOps

    # Load an image from a file
    image = Image.open(arg1)
    
    # Apply a filter to the image
    filtered_image = image.filter(ImageFilter.BLUR)
    
    # Convert the image to grayscale
    grayscale_image = ImageOps.grayscale(filtered_image)
    
    # Get the average color of the image
    average_color = grayscale_image.convert("L").getpixel((0, 0))
    
    # Save the image with the average color as its background
    new_image = Image.new("RGB", (grayscale_image.width, grayscale_image.height), color=(average_color, average_color, average_color))
    new_image.paste(grayscale_image, (0, 0))
    
    # Save the resulting image
    new_image.save(arg2)