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Abstract ▼ AI-Helper

Beginning of histogram equalization(HE), the study of image enhancement using transfer mapping function has worked on various ways. The HE method is a widely used image enhancement method. However, it often produces images with unnatural appearances. For solving this problem, several approaches we...

Beginning of histogram equalization(HE), the study of image enhancement using transfer mapping function has worked on various ways. The HE method is a widely used image enhancement method. However, it often produces images with unnatural appearances. For solving this problem, several approaches were proposed such as BHE, MMBEBHE, BUBO, HELM and so on. In this paper, an adaptive histogram equalization method using logarithmic mapping is presented. It achieves image enhancement by adopting different constraints on each pixel value. Furthermore, it can control the rate of image enhancement using control parameters. The experimental results show that the proposed algorithm not only keeps the original histogram shape features but also enhances the contrast effectively. Moreover, the proposed algorithm has higher ECBM and GSD values than other conventional approaches.

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