And this paper compares the enhancement effect of the proposed image enhancement algorithm and the traditional algorithm. The results show that the α of histogram equalization is smallest and AINDANE method is better than histogram equalization. The proposed method has the best α. The subjective evaluation also shows that the effect of HE is not satisfactory and the proposed method enhances the detail information tremendously. The subjective and objective criteria shows that the proposed method produces better enhancement effect.
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Kejian Zhang, Huan Wang, Bo Yuan, Liqiang Wang, "An image enhancement technique using nonlinear transfer function and unsharp masking in multispectral endoscope," Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 1024504 (5 January 2017);