• Opto-Electronic Engineering
  • Vol. 46, Issue 4, 180439 (2019)
Xi Jiaqi1、*, Chen Xiaodong1, Wang Yi1, Cai Huaiyu1, Sun Gang2, and Yang Yunsheng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.12086/oee.2019.180439 Cite this Article
    Xi Jiaqi, Chen Xiaodong, Wang Yi, Cai Huaiyu, Sun Gang, Yang Yunsheng. Details preserved brightness equalization algorithm for non-uniform illumination images[J]. Opto-Electronic Engineering, 2019, 46(4): 180439 Copy Citation Text show less

    Abstract

    In order to overcome the limitation of current image enhancement algorithms for non-uniform illuminationimages, a brightness equalization algorithm is proposed to preserve the detail information in low illumination region and normal illumination region at the same time. The algorithm uses the adjacent frequency and position of pixels to generate illumination filter, so it can effectively separate illumination information and reflection information with de-tails. The illumination threshold is used to divide different illumination areas to compensate for low illumination brightness, so as to balance the image brightness. The experimental results show that compared with the classical naturalness preserved enhancement algorithm (NPEA), the average peak signal to noise ratio of the image in-creases by 15.4%, the average enhancement degree increases by 245.0%, and the average brightness step dif-ference decreases by 25.4%. The results of the proposed algorithm can maintain the details of different illumination areas while balancing the brightness and obtain a better visual effect.
    Xi Jiaqi, Chen Xiaodong, Wang Yi, Cai Huaiyu, Sun Gang, Yang Yunsheng. Details preserved brightness equalization algorithm for non-uniform illumination images[J]. Opto-Electronic Engineering, 2019, 46(4): 180439
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