Quadri-histogram equalization using cutoff limits based on the size of each histogram with preservation of average brightness.

Autor: Brizuela Pineda, Isidro Augusto, Medina Caballero, Rubén Darío, Cáceres Silva, Juan José, Mello Román, Julio César, Vázquez Noguera, José Luis
Zdroj: Signal, Image & Video Processing; Jul2019, Vol. 13 Issue 5, p843-851, 9p
Abstrakt: The traditional methods of equalization based on the histogram increase the contrast of the images, at the expense of great changes in the average brightness of the image and loss of information, producing images with an unnatural appearance. Consequently, we desire to develop a technique of contrast enhancement that preserves the average brightness of the image and thus avoids the saturation levels that cause the loss of information. We present the quadri-histogram equalization with limited contrast, an algorithm that divides the histogram into four subhistograms, which are equalized independently with bounds on the contrast improvement. These bounds are designed to constrain the distortion on the image, and our experimental results show that the proposed method preserves both the average brightness and the details of the images, compared to several methods found in the literature. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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