The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 579–585, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-579-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 579–585, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-579-2020

  06 Aug 2020

06 Aug 2020

UNDERWATER IMAGE ENHANCEMENT BASED ON POLARIZATION IMAGING

L. Shen and Y. Zhao L. Shen and Y. Zhao
  • Research & Development Institute of Northwestern Polytechnical University, Shenzhen, 518057, China

Keywords: Underwater image enhancement, Polarization, Iterative scheme, Weighted regularization

Abstract. The need of high-quality underwater imaging is obviously required in many underwater applications. For example, underwater archaeology, underwater ecological research, underwater object detection and tracking. This paper presents a joint enhancing and denoising scheme for an image taken in underwater conditions. Conventional image enhancing methods may amplify the noise depending on the distance and density of the particles in the water. To suppress the noise and improve the enhancement performance, an imaging model is modified by adding the process of amplifying the noise in underwater conditions. This model offers depth-chromaticity compensation regularization for the transmission map and chromaticity-depth compensation regularization for enhancing the image. The proposed iterative underwater image enhancing method with polarization uses these two joint regularization schemes and the relationship between the transmission map and enhanced irradiance image. The transmission map and irradiance image are used to promote each other. To verify the effectiveness of the algorithm, polarizing images of different scenes in different conditions are collected. Different algorithms are applied to the original images. Experimental results demonstrate that the proposed scheme increases visibility in extreme conditions without amplifying the noise.