Image Nuke - Nuclear Metadata Cleanser

Strip everything. Re-encode. Inject noise. Forensically untraceable.

What Gets Destroyed

• ALL EXIF data (camera, lens, exposure, timestamps, software)
• GPS / location coordinates
• ICC color profiles
• XMP / IPTC metadata
• Adobe tags and editing history
• Embedded thumbnails

Nuclear Operations

• Sub-pixel Gaussian noise injection (invisible to human eye)
• Micro color shift (undetectable hue rotation)
• Per-pixel brightness variation
• Random micro-crop (changes dimensions by 1-3px)
• Fresh JPEG re-encoding with randomized quality/subsampling
• Different perceptual hash (reverse image search resistant)

Usage

# Single image - nuclear mode
python3 {baseDir}/scripts/nuke_image.py photo.jpg

# Custom output + max noise
python3 {baseDir}/scripts/nuke_image.py photo.jpg clean.jpg --noise 5

# Batch process entire directory
python3 {baseDir}/scripts/nuke_image.py --batch ./photos/ ./clean/

# Lower quality for harder reverse matching
python3 {baseDir}/scripts/nuke_image.py photo.jpg --quality 80 --noise 4

Noise Levels

Level	Sigma	Use Case
1	0.8	Light cleanse - metadata only feel
2	1.6	Standard - good balance
3	2.4	Default - recommended
4	3.2	Heavy - reverse search resistant
5	4.0	Nuclear - maximum anonymization

Requirements

• Python 3
• Pillow (pip install Pillow)
• NumPy (pip install numpy)

Notes

• Output is always JPEG (even if input is PNG)
• Original file is never modified
• Each run produces a unique output (randomized noise)