Quadri-histogram equalization using cutoff limits based on the size of each histogram with preservation of average brightness
| Autor: | Juan José Cáceres Silva, Rubén Darío Medina Caballero, José Luis Vázquez Noguera, Julio César Mello Román, Isidro Augusto Brizuela Pineda |
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| Rok vydání: | 2019 |
| Předmět: |
Brightness
business.industry Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Equalization (audio) 020206 networking & telecommunications Pattern recognition 02 engineering and technology Image (mathematics) Histogram Distortion Signal Processing 0202 electrical engineering electronic engineering information engineering Contrast (vision) Cutoff 020201 artificial intelligence & image processing Artificial intelligence Electrical and Electronic Engineering business Histogram equalization media_common |
| Zdroj: | Signal, Image and Video Processing. 13:843-851 |
| ISSN: | 1863-1711 1863-1703 |
| DOI: | 10.1007/s11760-019-01420-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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