QRGB: High-Capacity Color QR Codes & Spectral Normalization | Physical Medium Test
In this video, I demonstrate my multi-layered color QR code generator in action.
The primary challenge for such systems is data loss during the transition from a digital environment to a physical medium (printing, material textures, lighting conditions). My approach is based on the Spectral Channel Integrity (SCI) model, which utilizes deterministic spectral normalization to ensure the code remains readable in real-world conditions.
Key Features:
Generation of multi-layered data structures.
Application of deterministic spectral normalization.
Readability testing for transfer to subtractive media.
This is more than just a QR code — it’s a synthesis of computer vision, color science, and generative art.
Read the full research here:
👉 Zenodo (Paper): https://zenodo.org/records/19633526
👉 Medium (Deep Dive): https://medium.com/@Bakminsterfuler/qrgb-s...
👉 Behance (Visuals): https://www.behance.net/gallery/247424185/...
👉 Dev.to (Tech Blog): https://dev.to/astra31415926/a-color-qr-co...
#QRcode #ComputerVision #SpectralNormalization #ColorScience #GenerativeArt #DataEncoding #Python #ScienceArt #Engineering