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Automatic Gamma Correction Based on Root-Mean-Square-Error Maximization

2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Gamma correction is a well-known method used often for image enhancement, mainly to improve the luminance levels of dark and bright images. However, the enhancement level is highly affected by the gamma parameter used. In this paper, we propose a new iterative algorithm for automating the selection of the gamma value γ by maximizing the mean error ...
Ahmad S. Tarawneh   +4 more
openaire   +1 more source

Normal-eye Zernike coefficients and root-mean-square wavefront errors

Journal of Cataract and Refractive Surgery, 2006
To compare aberrometry measurements from multiple sites and compute mean Zernike coefficients and root-mean-square (RMS) values for the entire data pool to serve as a reference set for normal, healthy adult eyes.Northeastern State University, Tahlequah, Oklahoma, USA.Data were collected from 10 laboratories that measured higher-order aberrations (HOAs)
Thomas O, Salmon, Corina, van de Pol
openaire   +2 more sources

A root-mean-square-error analysis of two-peak Gaussian and Lorentzian fittings of thin-film carbon Raman spectral data

Journal of Applied Physics, 2019
We perform two-Gaussian and two-Lorentzian peak fits for Raman spectral data corresponding to samples of thin-film carbon found in the scientific literature.
J. Laumer, S. O’Leary
semanticscholar   +1 more source

Selection of factor for root mean square minimum error criterion

2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016
This paper deals with various approaches to the selection of weighting factor for of a cumulative weighted root-mean-square minimum error criterion of linear ACSs. Such criterion allows to determine optimal values of small parameters of the system, thus minimizing the system error caused by input replication error of a determined (or random) signal, as
Evgeniya L. Veretelnikova   +1 more
openaire   +1 more source

Measurement of Root-Mean-Square Phase Errors in Arrayed Waveguide Gratings

Chinese Physics Letters, 2004
The interference-based method to measure the root-mean-square phase errors in SiO2-based arrayed waveguide gratings (AWGs) is presented. The experimental results show that the rms phase error of the tested AWG is 0.72 rad.
Zheng Xiao-Ping   +4 more
openaire   +1 more source

Root mean square time interval error accumulation along slave clock chains

Proceedings of ICC '93 - IEEE International Conference on Communications, 2002
The main aspects of synchronization strategies suitable for application to synchronous digital hierarchy (SDH) based transport networks are discussed, with particular emphasis on the relative phase stability of distributed timing signals. Based on a mathematical model of slave clocks and a reference structure of the synchronization network, a ...
M. Carbonelli, D. De Seta, D. Perucchini
openaire   +1 more source

Effect of the Relative Root-Mean-Square Error on Pavement Response

Analysis of Asphalt Pavement Materials and Systems, 2007
Analysis of flexible pavements using the multilayered elastic theory involves the use of elastic moduli backcalculated from deflection basins measured utilizing the Falling Weight Deflectometer (FWD). Uncertainties associated with the thickness of the elastic layers, seed moduli, and the backcalculation algorithms have been studied to increase the ...
Wael Alkasawneh, Ernie Pan, Roger Green
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Performance measure of image and video quality assessment algorithms: subjective root-mean-square error

Journal of Electronic Imaging, 2016
Evaluating algorithms used to assess image and video quality requires performance measures. Traditional performance measures (e.g., Pearson’s linear correlation coefficient, Spearman’s rank-order correlation coefficient, and root mean square error) compare quality predictions of algorithms to subjective mean opinion scores (mean opinion score ...
Häkkinen Jukka   +2 more
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Upper bound criterion for testing the stability of root mean squared forecast error

Journal of Statistics and Management Systems, 2007
The purpose of the present study was to develop a relationship between Restricted Cross Validity Predictive Power (RCVPP) and Root Mean Squared Forecast Error (RMSFE).
openaire   +1 more source

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