Contrast Enhancement with Histogram-Adaptive Image Segmentation
Stuart H. Rubin, Roumen K. Kountchev, Vladimir Todorov, Roumiana A. Kountcheva · 2006
In the paper is presented a specific approach aimed at the improvement of the visual quality of underexposed or low-contrast images. For this is developed a new contrast-enhancement algorithm based on the segmentation of the image area with relatively high density of dark elements. The problem is solved changing the brightness intervals of the selected segments followed by equalization (in particular - linear stretch and skew) of the corresponding parts of the histogram. The method implementation is relatively simple and permits easy adaptation of the contrasting algorithm in accordance with the image contents, requiring the setting of small number of parameters only. The obtained results prove the efficiency of the new method on the processed image quality