Deep sea image enhancement algorithm based on distance model

Tong Liu; Wen Jun Li; Zhu Li

doi:10.1117/12.2502914

9 August 2018 Deep sea image enhancement algorithm based on distance model

Tong Liu, Wen Jun Li, Zhu Li

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080629 (2018) https://doi.org/10.1117/12.2502914
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

In the process of deep sea image acquisition, the illumination of the image is uneven due to the limitation of the deep sea imaging conditions. In this case, an image enhancement algorithm for auto adaptive exposure is proposed. First the algorithm calculates the distance between the light source and the imaging object based on the previous and the next frame, then calculate the exposure coefficient based on the distance, and then adaptively expose the image based on the exposure coefficient to achieve the purpose of enhancing the image. The experimental results show that this algorithm can effectively restore the uneven of the illumination due to the submarine conditions.

Citation Download Citation

Tong Liu, Wen Jun Li, and Zhu Li "Deep sea image enhancement algorithm based on distance model", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080629 (9 August 2018); https://doi.org/10.1117/12.2502914

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