mahmoudnafifi/C5

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

44
/ 100
Emerging

This project helps photographers and image processing professionals ensure consistent and accurate colors across images captured by different camera models or sensors. You provide raw camera images, and it outputs white-balanced versions of those images, making colors appear natural and true to life regardless of the original camera or lighting conditions. This is ideal for anyone working with diverse image sources in fields like commercial photography, digital archiving, or scientific imaging.

122 stars. No commits in the last 6 months.

Use this if you need to automatically correct and standardize color balance in a large collection of raw images from various camera types.

Not ideal if you only work with already processed JPEG/PNG images or if you prefer manual, artistic color grading.

photography image-processing color-correction digital-imaging computer-vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

122

Forks

22

Language

Python

License

Apache-2.0

Last pushed

Jan 14, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/mahmoudnafifi/C5"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.