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Motivated by this, a novel automatic grayscale image colorization method based on histogram regression is presented in this paper.
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Other brightness preserving histogram-based enhancement techniques are based on histogram matching (HM) procedure.
Secondly, a low complexity auto white balance hardware architecture is presented based on histogram equalization algorithm.
We study several algorithms based on histogram differences and evaluate them with respect to precision, recall, and processing latency.
The algorithm presented in [24] is based on histogram modification.
We constructed these categories based on histogram distributions of the XRF bromine readings.
Linearity of the regression models was judged based on histograms and scatter plots.
As an entire algorithm, reversible data hiding based on histogram-difference-shift is also reported.
Adjusted comparisons of costs and outcomes were based on multivariable linear regression and multivariable logistic regression models, respectively.
FC was computed based on multiple regression analyses.
The middle line is drawn based on linear regression.
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