A Novel Histogram-corrected Quadratic Histogram Equalization Image Enhancement Method

Yi Zhang, Haifeng Wang

Abstract


The gradation level causes which in view of the traditional histogram balanced method is merged, the image partial bright, shortcomings and so on detail loss, this article had proposed one kind of histogram revises two histogram balanced image intensification method. The algorithm the traditional histogram balanced histogram according to the gradation level size of mappings to the original map histogram in, finally carries on likely to the new mapping histogram the equalization treatment. The experiment indicated this article algorithm retains in the image detail, reduces the gradation level to merge for superiorly, the visual enhancement effect is most gentle that appears especially in enhancement low light intensity infrared imagery time these superiority especially obviously.

Keywords


Histogram Equalization; Information Entropy; Details of Reservation; Grayscale Merger


DOI
10.12783/dtssehs/icsste2017/9419