ОЦЕНКА ШУМОВ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ ПОСЛЕ АВТОМАТИЧЕСКОЙ КОРРЕКЦИИ МЕТОДОМ ПРЕОБРАЗОВАНИЯ ГИСТОГРАММЫ

Abstract

Analyzing the noise appearing as a result of automatic correction using histogram conversion method. Different methods of image noise analysis are shown to identify its type and to select effective noise reduction algorithms. Shown that in the corrected images the noise corresponds to the Gauss law, and impulse posterization noises appears. Measured the influence of automatic correction by histogram conversion method on the noise level in images produced with different specified exposure. Considered the possibility of noise suppression in automatic mode after correction depending on degree of correction.