Unsharp masking algorithm based on top-hat transform
Wang Tin · Jisuanji gongcheng yu sheji · 2014
For traditional unsharp masking is sensitive to noise and cannot be good to enhance the contrast and detail at the same time,an unsharp masking based on the top-hat transform is proposed.Firstly,the contrast of the image is enhanced by the tophat transform of morphology,and secondly,the difference between the iterative median filtering and the original image is used to obtain details of the image.Finally,adaptive adjustment parameter is used to control the detail sharpening.Because some local details of the image and the human visual system is fuzzy,unsharp masking uses fuzzy mathematical operator instead of the ordinary to do addition and subtraction and scalar-multiplication.Experimental results show that the algorithm enhances the overall contrast and highlights the details of the image and produces a better visual effect.