Background Image Removal

This is complete Python package module implementing: 1 - Background removal, 2 - Add background color/template. 3 - Enhance image quality, 4 - Resize and compress image, 5 - Resize by custom height*width

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📦 Image Magic Suite – The Ultimate Python Image Processing Toolkit

⭐ Background Removal • Smart Background Add • AI-Ready Enhancement • Compression • Resize • Quality Boost

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🧩 What is Image Magic Suite?

Image Magic Suite is a powerful, production-ready Python package designed for modern image processing needs. It provides all essential features in a single, lightweight module:

✅ Background Removal (powered by rembg)

✅ Add Background Colors or Templates

✅ Image Quality Enhancement (sharpness, contrast, brightness)

✅ Compress Large Images (1 MB → 20–90 KB) Without Visible Quality Loss

✅ Custom Resize (Height × Width) With High-Quality LANCZOS Filter

This package is ideal for:

• E-commerce product photo optimization
• ID photo editing
• Social media content apps
• SaaS products
• Bulk image processing pipelines
• Automation workflows
• AI datasets preprocessing

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🚀 Features Included

🔹 1. Background Removal

Uses the popular rembg AI engine to remove backgrounds cleanly and produce transparent PNG output.

🔹 2. Add Background Color or Templates

Apply plain colors or a custom background template (overlay).

🔹 3. Enhance Image Quality

Improve sharpness, brightness & contrast using Pillow’s enhancement tools.

🔹 4. Compress Images to Target File Size

Automatically reduce file size (KB range) while trying to preserve visual quality.

🔹 5. Custom Resize (Height × Width)

Resize with LANCZOS (best image quality for downscaling).

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🔧 Installation

pip install pillow rembg numpy

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🧪 Example Usage

from image_tools import ImageProcessor

processor = ImageProcessor()

processor.remove_bg("input.jpg", "output.png")
processor.add_background("input.png", "bg_added.jpg", bg_color=(255,255,255))
processor.enhance_quality("input.jpg", "enhanced.jpg")
processor.compress_to_size("input.jpg", "compressed.jpg", target_kb=80)
processor.resize_dimensions("input.jpg", "resized.jpg", width=800, height=600)

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🗂 Included Module Description (image_tools.py)

This module contains complete implementations for:

✔ Background Removal

Reads image → passes to rembg → writes transparent PNG.

✔ Apply Background

Add solid color or template overlay (RGBA alpha composite).

✔ Enhancement

Boosts sharpness, brightness, contrast with Pillow.

✔ Compression

Iteratively reduces quality until reaching target size in KB.

✔ Resize

Uses high-quality LANCZOS filter to preserve clarity.

All functions have error handling, clean code, PEP8 compliant, and clear docstrings.

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Input file

Output file of Remove Background

Output file of Background Change