Comparative analysis of methods for assessing image contrast
Автор: Dubrovskaya E.A., Balanev K.S., Privalov K.E., Bortsova D.E.
Рубрика: Математическое моделирование
Статья в выпуске: 4, 2024 года.
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The paper considers methods of global contrast normalization, including an algorithm based on the cumulative distribution function (CDF) and a linear algorithm. A comparative analysis of the results of the application of these methods is performed. As a result of the algorithms, images with a normalized contrast level were obtained. To assess the degree of normalization, the mean square deviation formula, the entropy contrast method and the range contrast index were used. The limitations of each method are also identified and recommendations for their use in various conditions are proposed.
Contrast, normalization, histogram, cumulative distribution function, contrast estimation
Короткий адрес: https://sciup.org/148330359
IDR: 148330359 | DOI: 10.18137/RNU.V9187.24.04.P.3