A novel image enhancement method using local Gamma correction with three-level thresholding
Jinfang Shi, Yong Cai · 2011
Uneven illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an enhancement method using local Gamma correction with three-level thresholding. First, three-level thresholding is used to segment the image based on maximum fuzzy entropy. It can make it possible to segment the image into three gray levels (dark, medium tone, and bright). Then, local Gamma correction is applied to the three levels respectively. Finally, the image by Gamma correction is linear stretched with saturation. The experiment results show that the proposed method gives good performance.