ПРИМЕНЕНИЕ ГИСТОГРАММНЫХ МЕТОДОВ ДЛЯ КОРРЕКЦИИ ЧЕРНО-БЕЛЫХ И ЦВЕТНЫХ ИЗОБРАЖЕНИЙ
The application is considered histogram processing for automating of correction of grayscale and color images with gradation and color distortions. It shows effectiveness of the method of correcting gradation of grayscale images by histogram conversion with Gaussian distribution, and also the possibility of extending this method to improve color images. Optimal color correction space is selected. The possibility of using histogram processing for correcting images with color distortions is evaluated by creating a histogram balance on RGB channels.