Stokes vector based interpolation method to improve the efficiency of bio-inspired polarization-difference imaging in turbid media

Guan, Jun; Ren, Wei; Yao-yu, Cheng

doi:10.1088/1361-6463/aab28f

Cited by 6 publications

(5 citation statements)

References 26 publications

(36 reference statements)

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“…Figure 8E compares the traditional and the modified polarization filtering methods in PD imaging. The principle of this method is shown in Figure 8F [91]. From the image results, the object's contrast is significantly enhanced, and the background noise is significantly decreased.…”

Section: Representative Methodsmentioning

confidence: 99%

“…The result shows the background noise is significantly suppressed, and the contrast of the target "Z" is significantly improved. In 2018, Guan et al [91] modified the above method and proposed another M-PDI method via the Stokes vector-based interpolation method. Figure 8E compares the traditional and the modified polarization filtering methods in PD imaging.…”

Section: Representative Methodsmentioning

confidence: 99%

“…From the image results, the object's contrast is significantly enhanced, and the background noise is significantly decreased. More details of this method and the comparison with the traditional PD method can be found in [91].…”

Section: Representative Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Polarimetric Imaging Through Scattering Media: A Review

Han

Wang

et al. 2022

Front. Phys.

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Imaging in scattering media has been a challenging and important subject in optical science. In scattering media, the image quality is often severely degraded by the scattering and absorption effects owing to the small particles and the resulting nonuniform distribution of the intensity or polarization properties. This study reviews the recent development in polarimetric imaging techniques that address these challenges. Specifically, based on the polarization properties of the backscattering light, polarimetric methods can estimate the intensity level of the backscattering and the transmittance of the media. They can also separate the target signal from the undesired ones to achieve high-quality imaging. In addition, the different designs of the polarimetric imaging systems offer additional metrics, for example, the degree/angle of polarization, to recover images with high fidelity. We first introduce the physical degradation models in scattering media. Secondly, we apply the models in different polarimetric imaging systems, such as polarization difference, Stokes vector, Mueller matrix, and deep learning-based systems. Lastly, we provide a model selection guideline and future research directions in polarimetric imaging.

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Section: Representative Methodsmentioning

confidence: 99%

Section: Representative Methodsmentioning

confidence: 99%

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Polarimetric Imaging Through Scattering Media: A Review

Han

Wang

et al. 2022

Front. Phys.

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“…Therefore, different pioneering works have been reported in recent years to reduce the influence of backscattered light and improve the quality of underwater imaging [1][2][3][4][5]. Among them, the underwater polarization differential model proposed by Schechner et al [1] has been widely used due to its compact structure, easy operation, and high portability [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Local optimum underwater polarization imaging enhancement based on connected domain prior

Zhang¹,

Zhou²,

Meng³

et al. 2022

J. Opt.

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Estimating the degree of polarization (DOP) of target signal light (ptarg) is a critical step in underwater polarization differential imaging process. It is challenging to accurately estimate the ptarg of objects containing multiple attributes in the imaging range. Inspired by the optical polarization characteristics of objects with different DOP, we find a prior of connected domains (CDs) of objects in polarization orthogonal images. Based on this prior, the CDs of LDOP and HDOP objects are extracted from the darkest image (Imin) and brightest image (Imax) without additional image acquisition. The ptarg of LDOP and HDOP objects in the scene can be estimated through the extracted CDs, which realizes the transition from global optimum estimation in the traditional method to local optimum estimation. According to the estimated ptarg, the enhanced results of the entire image marked by ptarg can be obtained after fusing the enhanced results of the objects in each CD. Experimental results of simple and complex combination scenes of objects show that our method can recognize CDs of LDOP and HDOP objects. We obtained the enhanced results of the entire image, verified the feasibility and robustness of our method, and the CDs of LDOP and HDOP objects could be effectively extracted in up to 34.3 NTU of turbid water. The local optimum improves the application ability of underwater polarization imaging in unpredictable scenarios, while the enhanced result of target labeling has potential application value in underwater target recognition and classification.

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“…Various methods, mainly classified into computer visionbased methods [11][12][13][14][15] and physical model-based methods [16][17][18][19][20][21][22][23][24][25][26][27][28][29], have been applied to enhance the quality (both contrast and color) of underwater images. Examples of such methods are the histogram stretching (HS) method [11], the colorline-based method [12], the dark channel prior (DCP) method [13] and polarization-based methods [16,23].…”

Section: Introductionmentioning

confidence: 99%

Underwater imaging enhancement based on a polarization filter and histogram attenuation prior

Hu¹,

Qi²,

Li³

et al. 2021

J. Phys. D: Appl. Phys.

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Underwater images always suffer from low contrast and inaccurate colors due to scattering and absorption by particles when the target light propagates through turbid water. In this paper, we first found that a lot of intensity space is occupied by fewer pixels, called ‘tails’, on both sides of the histograms for the red, green and blue channels of the image. Based on this histogram attenuation prior and taking account of the advantage of a polarization filter we proposed an effective polarimetric recovery method to enhance the underwater image quality, which includes a specially designed histogram processing method, named ‘cut-tail histogram stretching’. This processing overcomes the limitation of traditional histogram-based methods and can further improve the restoration performance. The experimental results corresponding to underwater scenes with different turbidities and colors show that the proposed method can simultaneously enhance the image contrast and reduce the color distortion to some extent, and thus realize clear underwater vision.

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Stokes vector based interpolation method to improve the efficiency of bio-inspired polarization-difference imaging in turbid media

Cited by 6 publications

References 26 publications

Polarimetric Imaging Through Scattering Media: A Review

Polarimetric Imaging Through Scattering Media: A Review

Local optimum underwater polarization imaging enhancement based on connected domain prior

Underwater imaging enhancement based on a polarization filter and histogram attenuation prior

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