An empirical-parametric gamma calibration algorithm
Jani Isohanni, Robert Piche

TL;DR
This paper introduces an efficient empirical-parametric method for calibrating gamma correction curves on displays, using minimal measurements and standard least-squares fitting, demonstrated on LCD screens.
Contribution
It presents a novel, lightweight calibration algorithm that combines empirical modeling with parametric fitting to reduce measurement effort.
Findings
Accurately calibrates gamma curves with few measurements
Uses standard least-squares algorithms for fitting
Demonstrates effectiveness on LCD displays
Abstract
A method to determine the gamma correction curves for displays is presented. An empirical model is first constructed from exhaustive measurements of a few representative units. The model parameters for the remaining units are then fitted using only a few measurements. The method uses standard least-squares algorithms and is computationally light. Experimental results for a small sample of LCD displays are presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsColor Science and Applications · Industrial Vision Systems and Defect Detection · Surface Roughness and Optical Measurements
