Sentence examples for using the gamma correction from inspiring English sources

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Contrast of the estimated illumination is enhanced using the gamma correction and histogram equalization to reduce a color distortion and noise amplification.

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Pairs of orthologous proteins were aligned using the ClustalW program [ 21] and their substitution (evolutionary) rates were calculated using the gamma distance correction [ 22].

Pairs of orthologous proteins were aligned using the ClustalW program [ 35] and their substitution (evolutionary) levels were calculated using the gamma distance correction [ 36] with α = 2. Paralogous sequences were identified by using each protein as a query in BLASTP searches, with the same settings used for ortholog identification, against the rest of the proteins encoded by its same genome.

As prompt gamma correction is currently not available for clinical reconstructions, tumour detectability and SUV determination was not performed on the images reconstructed using the prompt gamma correction algorithm of the e7 tools.

The concept of the GLS provides a theoretical framework to generalize the gamma correction algorithm by using other generating functions.

However, for high intensity of pixels (referred by dashed-line arrow), the gamma correction curve is used since these regions correspond to bright zone of image and increasing the luminance of these zones risks of saturating the luminance and consequently losing contrast information.

Luminance is then transformed by the gamma correction circuitry of the camera, as described in Gamma in video, in the chapter.

The original color videos were converted to gray scale, using a gamma correction for the computer monitor.

However, the relationship between voltage and brightness is complex, and must be adjusted to a linear pattern using a "gamma correction," named for one of the mathematical terms involved.

Using of gamma correction to enhance images, dark regions in the images can become clearer, but the bright regions will become overexposed.

A comparison with objective metrics in physical domain and using a gamma correction to approximate perceptually uniform luminance is also presented, concluding that the mean relative squared error (MRSE) metric provides the best performance in predicting quality.

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