Abstract
The article considers the possibility of controlling the brightness and contrast of the digital image by transformation of the pixel brightness through the power function. Analysis of the parameters of the converted images on the simple model of dark low contrast image has been carried out. The preferred values of parameters and possible ranges of brightness and contrast are determined. The results of transformation of the dark low contrast images compared with the results of image processing by other methods (approximated by reduction of a histogram to a uniform distribution and a television algorithm) are investigated. It has been stated that the parameters of the considered transformation can be chosen, so that the improvement of the distinguishability of the image details will be much better than using the methods with which the comparison is made.
Highlights
The article considers the possibility of controlling the brightness and contrast of the digital image by transformation of the pixel brightness through the power function
The results of transformation of the dark low contrast images compared with the results of image processing by other methods are investigated
It has been stated that the parameters of the considered transformation can be chosen, so that the improvement of the distinguishability of the image details will be much better than using the methods with which the comparison is made
Summary
ПУТЕМ ПРЕОБРАЗОВАНИЯ ЯРКОСТИ ПИКСЕЛЕЙ ПОСРЕДСТВОМ СТЕПЕННОЙ ФУНКЦИИ Рассмотрена возможность управления яркостью и контрастом цифрового изображения путем преобразования яркости пикселей посредством степенной функции. Проведены расчеты характеристик преобразованных изображений на простой модели темного слабоконтрастного изображения. Установлено, что параметры рассмотренного преобразования можно подобрать так, что улучшение различимости деталей изображения будет значительнее, чем при использовании методов, с которыми производится сравнение.
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More From: Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics
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