Open AccessImproved single-illumination estimation accuracy via redefining the illuminant-invariant descriptor and the grey pixels
Author(s) -
Yang Xiang,
Xing Jin,
Jingjing Zhang
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.029055
Subject(s) - standard illuminant , pixel , artificial intelligence , logarithm , invariant (physics) , grey level , computer science , pattern recognition (psychology) , mathematics , color constancy , computer vision , image (mathematics) , mathematical analysis , mathematical physics
A grey pixel detection method, based on the illuminant-invariant descriptor in three logarithmic color channels, was proposed and proved effective for illuminant estimation [25]. In this work, an incremental improvement measure, based on Yang's work, is proposed by redefining the illuminant-invariant descriptor and the grey pixels. In order to improve the accuracy, appropriate parameters of grey pixels ratio and filter size are statistically analyzed and selected on different data sets. Experimental results show that the improved method is not only effective compared with classical statistics-based methods, but also outperforms many learning-based methods.