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According to maritime image histograms&#x2019; statistic and analysis, the histogram of pure maritime image obeys Gaussian distribution approximately, thus Three Adaptive Sub-histograms Equalization (TASHE) algorithm for maritime image enhancement is proposed in this paper. First, the characteristics of pure maritime image&#x2019;s histogram are studied, then the adaptive threshold&#x2019;s optimal selection strategy for the histogram&#x2019;s division is discussed, finally the implement of three sub-histograms is described. This paper employs visible gray maritime image, visible color maritime image and infrared maritime image to verify the enhancement algorithm&#x2019;s effectiveness and robustness, the experimental results show that TASHE algorithm can not only keep the maritime image&#x2019;s mean brightness and naturalness, but also improve the maritime image&#x2019;s contrast without the noise and artifacts. The objective image quality assessment also indicates that TASHE algorithm can improve the original maritime image&#x2019;s Enhancement Measure by Entropy (EME) value, furthermore, when a maritime image is pre-processed by TASHE algorithm, the maritime target&#x2019;s Detection Rate (DR) can be improved.

Three Adaptive Sub-Histograms Equalization Algorithm for Maritime Image Enhancement