Contrast enhancement using extracted details based on multi-scale top-hat transformation
Liu Yan-l · Jisuanji gongcheng yu sheji · 2014
In view of the defects of traditional contrast enhancement algorithms,a new contrast enhancement method based on morphological filtering is proposed to reconstruct the original image.Multi-scale top-hat transform is used to extract the bright and dark features of the image.And according to the importance of these extracted local features,the contrast enhancement between the extracted features is achieved using nonlinear function to highlight the hidden information of the image.The results of experiments show that compared with general methods,the new way can effectively enhance the image contrast,has certain noise suppression capability,and make the enhancement image better visual effects.Also,it can prevent over enhancement or insufficient in details which is often observed in the traditional contrast enhancement algorithms,and this method has wide applications.