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Automatic Gamma Correction Based on Root-Mean-Square-Error Maximization
2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020Gamma 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 Salem Ahmad Altarawneh +1 more
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Selection of factor for root mean square minimum error criterion
2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016This 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
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Южно-Сибирский научный вестник, 2018
В настоящее время для измерения среднего квадратического значения (СКЗ) применяются преимущественно цифровые методы. Реализация данных методов предполагает использование аналого-цифровых преобразователей (АЦП) для получения отсчетов входного сигнала в цифровом виде.
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В настоящее время для измерения среднего квадратического значения (СКЗ) применяются преимущественно цифровые методы. Реализация данных методов предполагает использование аналого-цифровых преобразователей (АЦП) для получения отсчетов входного сигнала в цифровом виде.
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Measurement of Root-Mean-Square Phase Errors in Arrayed Waveguide Gratings
Chinese Physics Letters, 2004The 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
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On the evaluation of root-mean-square errors in atomic coordinates in protein crystallography
Acta Crystallographica Section A, 1982The calculation of standard deviations for atomic coordinates in human deoxyhaemoglobin A on the basis of various reciprocal-space residuals has shown the resulting values to be in good agreement with each other. Evidence is presented that such calculations may be more reliable than is commonly accepted. It is also shown that Wilson's statistics may be
Z. Derewenda +3 more
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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 ...
Mikko Nuutinen +2 more
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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 ...
Mikko Nuutinen +2 more
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The choice of the coefficient of criterion of a minimum of the resulting root-mean-square error
2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2016The various approaches to a choice of weight coefficient of criterion of a minimum of the resulting root-mean-square error of linear automatic control systems are considered. This criterion allows defining compromise meanings of small parameters of system, minimizing an resulting error of the system, which is summed dispersion of measurement noise and ...
E.L. Veretelnikova, I.L. Elantseva
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Upper bound criterion for testing the stability of root mean squared forecast error
Journal of Statistics and Management Systems, 2007The purpose of the present study was to develop a relationship between Restricted Cross Validity Predictive Power (RCVPP) and Root Mean Squared Forecast Error (RMSFE).
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Usage of algorithm of a minimum root-mean square error at an adaptive filtration
Modern Problems of Radio Engineering, Telecommunications and Computer Science (IEEE Cat. No.02EX542), 2003The use of adaptive filtration in the frequency area is considered. This is based on calculation of the Fourier transformation of an entering signal and independent weighing of every single frequency component.
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