Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm (Erratum)

Michela Lecca; Carla Maria Modena; Alessandro Rizzi

doi:10.1117/1.JEI.27.1.019801

30 January 2018 Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm (Erratum)

Michela Lecca, Carla Maria Modena, Alessandro Rizzi

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 1, 019801 (January 2018). https://doi.org/10.1117/1.JEI.27.1.019801

Abstract

Erratum for “Using pixel intensity as a self-regulating threshold fordeterministic image sampling in Milano Retinex:the T-Rex algorithm.”

This article [J. Electron. Imaging 27(1), 011005 (2018)] was originally published online on 23 December 2017 with errors in Table 3. The corrected table appears below.

Table 3

TEST35COLOR: mean values of ΔE for different values of λ.

(a) T-Rex
Parameter $λ$	$Δ E$
$λ = 0.00$	16.87
$λ = 0.25$	19.33
$λ = 0.50$	19.96
$λ = 0.75$	20.58
$λ = 1.00$	21.17
$λ = 2.00$	23.22
$λ = 3.00$	24.81
Parameter $λ$	$Δ E$
$λ = 4.00$	26.10
$λ = 5.00$	27.18
$λ = 6.00$	28.13
$λ = 7.00$	28.97
$λ = 8.00$	29.73
$λ = 9.00$	30.42
$λ = 10.00$	31.05
(b) GREAT, RSR-P, global- and local-QBRIX
Algorithm	$Δ E$
GREAT	18.92
RSR-P	10.73
Global-QBRIX	11.14
Local-QBRIX	18.15

All online versions of the article were corrected on 11 January 2018. The article appears correctly in print.

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Michela Lecca, Carla Maria Modena, and Alessandro Rizzi "Using pixel intensity as a self-regulating threshold for deterministic image sampling in Milano Retinex: the T-Rex algorithm (Erratum)," Journal of Electronic Imaging 27(1), 019801 (30 January 2018). https://doi.org/10.1117/1.JEI.27.1.019801

Published: 30 January 2018

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KEYWORDS

Communication and information technologies

Electronic imaging

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