Image Processing with Gaussian Blur, Thresholding, and Inversion

This function takes an input image path, applies Gaussian blur, threshold filtering, and color inversion, and then saves the processed image to an output image path.

Technology Stack : Pillow library

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
from PIL import Image, ImageFilter, ImageOps

def apply_filters_to_image(input_image_path, output_image_path):
    # Open the input image
    with Image.open(input_image_path) as img:
        # Apply a Gaussian blur filter
        blurred_img = img.filter(ImageFilter.GaussianBlur(radius=5))
        
        # Apply a color threshold filter
        thresholded_img = blurred_img.point(lambda p: 255 if p > 128 else 0, '1')
        
        # Invert the colors of the image
        inverted_img = ImageOps.invert(thresholded_img)
        
        # Save the processed image
        inverted_img.save(output_image_path)