Random Image Filter Application

The function randomly selects one of the three possible image filters (Gaussian Blur, Median Blur, Bilateral Filter) and applies it to the input image. Parameters such as Gaussian kernel size, median kernel size, bilateral filter's radial distance, and standard deviation are randomly generated.

Technology Stack : Image processing, OpenCV, NumPy, random selection

Code Type : Image processing

Code Difficulty : Intermediate

                
                    
def apply_random_filter(image):
    import cv2
    import numpy as np
    import random

    # Randomly select a filter from a list of possible filters
    filters = [cv2.GaussianBlur, cv2.medianBlur, cv2.bilateralFilter]
    filter = random.choice(filters)

    # Randomly determine the parameters for the selected filter
    if filter == cv2.GaussianBlur:
        kernel_size = random.randint(3, 9) | 1  # Must be an odd number
        image = filter(image, (kernel_size, kernel_size))
    elif filter == cv2.medianBlur:
        kernel_size = random.randint(3, 9) | 1  # Must be an odd number
        image = filter(image, kernel_size)
    elif filter == cv2.bilateralFilter:
        d = random.randint(5, 15)
        sigma_color = random.uniform(50, 150)
        sigma_space = random.uniform(10, 100)
        image = filter(image, d, sigma_color, sigma_space)

    return image