Underwater Image Recovery Under the Nonuniform Optical Field Based on Polarimetric Imaging

Hu, Haofeng; Zhao, Lin; Li, Xiaobo; Wang, Hui; Liu, Tiegen

doi:10.1109/jphot.2018.2791517

Cited by 69 publications

(34 citation statements)

References 25 publications

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“…According to Schechner's traditional polarimetric dehazing model [9], [15], the DOP of backscatter is given by…”

Section: Traditional Polarimetric Dehazing Methodsmentioning

confidence: 99%

Pseudo-polarimetric Method for Dense Haze Removal

Zhao

et al. 2019

IEEE Photonics J.

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The scattering and absorption by the existing particles in turbid media is severely degrading the image quality and decreasing the visibility distance, especially in dense turbid media. In this paper, we investigate the polarization property of hazy images in dense turbid media, and we propose a simple pseudo-polarimetric dehazing method for dense haze removal, which only requires a single image captured by the detector. By our proposed method, two orthogonal polarization subimages are derived from the single original image, and then, based on these two subimages, one can obtain the recovered image by using the traditional polarimetric method. The real-word experimental results verify that, for the dense haze, our method based on a single image could have a comparable or better performance compared to the traditional polarimetric dehazing method with multiple images captured at different polarization states.

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“…According to Schechner's traditional polarimetric dehazing model [9], [15], the DOP of backscatter is given by…”

Section: Traditional Polarimetric Dehazing Methodsmentioning

confidence: 99%

Pseudo-polarimetric Method for Dense Haze Removal

Zhao

et al. 2019

IEEE Photonics J.

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“…Indeed, more technical details of this survey have been published (Drap et al 2015). More generally, we can observe that entire workshops are now dedicated to photogrammetric survey for underwater archaeology (for example the workshop organized by CIPA/ISPRS, entitled 'Underwater 3D recording and modeling' in Sorrento, Italy in April 2015), hundreds of articles are written on photogrammetric underwater survey for archaeology and substantial research is done on technical aspects, such as calibration (Shortis 2015;Telem andFilin 2010), stereo system (O'Byrne et al 2018;Shortis et al 2009) using structured light (Bruno et al 2011;Roman et al 2010) or more generally on underwater image processing (Ancuti et al 2017;Chen et al 2018;Hu et al 2018;Yang et al 2017a, b). In the last few years this discipline has attracted the attention of the industrial world and has been used to record and analyse complex objects of large dimensions (Menna et al 2015;Moisan et al 2015).…”

Section: Underwater Survey By Photogrammetrymentioning

confidence: 99%

Deepwater Archaeological Survey: An Interdisciplinary and Complex Process

Drap

Papini

Merad

et al. 2019

3D Recording and Interpretation for Maritime Archaeology

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This chapter introduces several state of the art techniques that could help to make deep underwater archaeological photogrammetric surveys easier, faster, more accurate, and to provide more visually appealing representations in 2D and 3D for both experts and public. We detail how the 3D captured data is analysed and then represented using ontologies, and how this facilitates interdisciplinary interpretation and cooperation. Towards more automation, we present a new method that adopts a deep learning approach for the detection and the recognition of objects of interest, amphorae for example. In order to provide more readable, direct and clearer illustrations, we describe several techniques that generate different styles of sketches out of orthophotos developed using neural networks. In the same direction, we present the Non-Photorealistic Rendering (NPR) technique, which converts a 3D model into a more readable 2D representation that is more useful to communicate and simplifies the identification of objects of interest. Regarding public dissemination, we demonstrate how recent advances in virtual reality to provide an accurate, high resolution, amusing and appropriate visualization tool that offers the public the possibility to 'visit' an unreachable archaeological site. Finally, we conclude by introducing the plenoptic approach, a new promising technology that can change the future of the photogrammetry by making it easier and less time consuming and that allows a user to create a 3D model using only one camera shot. Here, we introduce the concepts, the developing process, and some results, which we obtained with underwater imaging.

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“…Polarization is an intrinsic feature of light that provides valuable information between objects and the scene [18]. Polarization differences of reflected light can be used to enhance the image contrast [19], [20]. In some special applications, the first surface and second surface have completely opposite polarization properties, such as airborne lidar bathymetry.…”

Section: Introductionmentioning

confidence: 99%

Dual Gm-APD Polarization Lidar to Acquire the Depth Image of Shallow Semitransparent Media With a Wide Laser Pulse

Yang

et al. 2020

IEEE Photonics J.

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A polarization lidar with dual Geiger-mode avalanche photodiodes (Gm-APDs) is designed to obtain the high-precision depth image of shallow semitransparent media by using a wide laser pulse. The first surface of the semitransparent media is smooth and can nearly preserve the incident polarization, whereas the second surface is rough and can depolarize the incident polarization. A polarization splitting prism is utilized to separate the two echo signals, which will be detected by dual Gm-APDs. It gives the ability to obtain the extremely shallow depth independent of laser pulse width and dead time of Gm-APD. The theory of laser polarization transmission of dual Gm-APD polarization lidar is analyzed. Signal restoration & center-of-mass algorithm method is used to restrain the range walk error and obtain high range precision. The depth image of shallow semitransparent media with a thickness and distance of 10 cm and 6 m, respectively, is obtained in the experiment with a range precision of 1.1 cm. An experiment of real shallow water layer with different depth features is also performed to verify the result.

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Underwater Image Recovery Under the Nonuniform Optical Field Based on Polarimetric Imaging

Cited by 69 publications

References 25 publications

Pseudo-polarimetric Method for Dense Haze Removal

Pseudo-polarimetric Method for Dense Haze Removal

Deepwater Archaeological Survey: An Interdisciplinary and Complex Process

Dual Gm-APD Polarization Lidar to Acquire the Depth Image of Shallow Semitransparent Media With a Wide Laser Pulse

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