Emily Patterson
AI Colorization Specialist at colorizethis.io
Emily Patterson is a PhD candidate in Computer Vision and Image Processing at MIT, focusing on diffusion-based colorization models and the restoration of historical photographs. Her research explores how generative AI can authentically reconstruct color in archival imagery while preserving historical accuracy. Deep experience. Intellectual curiosity.
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Recent articles by Emily Patterson
- Photo Colorization: Why PSNR 30 dB Is a Luminance Floor, Not a Color Guarantee October 27, 2026
- Colorize 1940s Kodachrome in 2026: 16-bit TIFF vs 8-bit JPEG skin-tone accuracy October 24, 2026
- Colorizing Old Photos: 3 Tests—Perceptual Score vs Human Choice, Pick a Model October 21, 2026
- Kodachrome magenta skin tones: verify with the 3-step LUT workflow October 18, 2026
- 1940s portrait colorization: IP-Adapter skin-tone reference workflow October 15, 2026
- Cyanotype colorization: DeOldify vs Stable Diffusion 2025, by provenance class October 12, 2026
- Whether diffusion-based colorization improves or harms historical authenticity in archival photographs: a side-by-side evaluation of color fidelity, luminance preservation, and expert-rated historical accuracy October 9, 2026
- Canon's firmware update (1.3) adds a BIG NEW addition to the R1 and R5 Mark II cameras! October 6, 2026