An adaptive contrast enhancement using regional dynamic histogram equalization
Takuya Iwanami, Tomio Goto, Satoshi Hirano, Masaru Sakurai · 2012
In this paper, we have proposed a new adaptive histogram equalization (HE) method. We utilize the DRSHE method to the block of the image in order to improve the regional image contrast with automatic parameter setting and in short computational time. We have compared the processed image of our method with those of the various conventional HE methods. We have obtained the best image that is close to the image by the Retinex method which is considered at present to be the best contrast enhancement technology. The computational time is important merit of the proposed method. It is much smaller than that of the Retinex method and the local HE method. The automatic parameter setting is another important merit of the proposed method because many conventional HE method needs parameter setting in accordance with each image.