Webtoonizer

Overview

Webtoonize is a Python script that transforms ordinary images into webtoon-like illustrations using image processing techniques. The script applies a series of image transformations to create a webtoon-like aesthetic.

Features

• Color quantization to simplify color palette
• Edge preservation through bilateral filtering
• Adaptive edge detection and enhancement
• Simplified color representation
• Easy-to-use image conversion

Dependencies

• OpenCV (cv2)
• NumPy

Installation

pip install opencv-python numpy

Usage

from webtoonizer import webtoonize_image

# Basic usage
webtoonize_image('input.png', 'webtoon_output.png')

# Customizable parameters
webtoonize_image('input.png', 'webtoon_output.png', k=16, num_bilateral=4)

Parameters

• image_path: Path to input image
• output_path: Path to save webtoonized image
• k: Number of colors for quantization (default: 16)
• num_bilateral: Number of bilateral filtering passes (default: 4)

Webtoon-like Image

Demo Images

Original Image

Webtoonized Result

How It Works

The script transforms images through these key steps:

1. Apply bilateral filtering to smooth image while preserving edges
2. Reduce color palette using k-means clustering
3. Convert to grayscale and apply median blur
4. Detect and enhance edges with adaptive thresholding
5. Combine quantized image with edge map

Customization Tips

• Adjust k to control color complexity
• Modify num_bilateral to change edge smoothness
• Experiment with different input images for unique results

License