Dynamic Dark Channel Prior Dehazing with Polarization

Suo, Haotong; Guan, Jinge; Ma, Miao; Huo, Yongsheng; Cheng, Yaoyu; Wei, Naying; Zhang, Liying

doi:10.3390/app131810475

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…From Table 1, the traditional Canny algorithm has some limitations in extracting the edges of polarization thermal images for building facade hollowing defects [33,34]:…”

Section: Traditional Canny Algorithmmentioning

confidence: 99%

“…According to the principle of thermal polarization imaging, the light intensity is halved after passing through the polarizer and the accepted energy by the detector after the polarization analyzer is I/2 [34], resulting in lower-contrast polarization images. Therefore, image enhancement is required for polarization thermal images processed using adaptive bilateral filtering.…”

Section: Laplace Sharpening and Histogram Equalizationmentioning

confidence: 99%

See 1 more Smart Citation

A Method for Extracting Contours of Building Facade Hollowing Defects Using Polarization Thermal Images Based on Improved Canny Algorithm

Zhu,

Li,

Wang

et al. 2023

Buildings

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During the service process of high-rise buildings, hollowing defects may be produced in the decorative layer, which not only affect the appearance, but also create a safety hazard of wall covering and shattered plaster peeling. Numerous studies have shown that hollowing can be detected using infrared thermal imagery under normal conditions. However, it is difficult to detect the edge and calculate the area of the hollowing on an exterior facade accurately because of the low contrast and fuzzy boundaries of the obtained infrared thermal images. To address these problems, a method for extracting the contours of building facade hollowing defects using polarization thermal images based on an improved Canny algorithm has been proposed in this paper. Firstly, the principle of thermal polarization imaging was introduced for hollowing detection. Secondly, considering the shortcomings of the Canny edge detection algorithm and the features of polarization thermal images, an improved Canny edge detection algorithm is proposed, including adaptive bilateral filtering to improve noise reduction ability while ensuring defect edges are not virtualized, Laplacian sharpening and histogram equalization to achieve contour sharpening and contrast enhancement, and eight-direction gradient templates for calculating image gradients, which make interpolation with non-maximum suppression more accurate, and the Tsallis entropy threshold segmentation algorithm based on the OTSU algorithm verification makes the image contour information more complete and accurate. Finally, a long-wave infrared polarization thermal imaging experimental platform was established and validation experiments were conducted. The experimental results demonstrate that the distinct, smooth, and precise location edges of the hollowing polarization infrared thermal images can be obtained, and the average error of the detected hollowing area is about 10% using the algorithm proposed in this paper.

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“…From Table 1, the traditional Canny algorithm has some limitations in extracting the edges of polarization thermal images for building facade hollowing defects [33,34]:…”

Section: Traditional Canny Algorithmmentioning

confidence: 99%

Section: Laplace Sharpening and Histogram Equalizationmentioning

confidence: 99%

A Method for Extracting Contours of Building Facade Hollowing Defects Using Polarization Thermal Images Based on Improved Canny Algorithm

Zhu,

Li,

Wang

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

Implementation of Video-Dehazing Based on AOD-Net Using Docker on Jetson Nano

Reddy,

Kaveti,

Jatoth

2024

2024 IEEE Students Conference on Engineering and Systems (SCES)

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Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast

Shi,

Lin,

Wang

et al. 2024

Micromachines

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Micro-polarizer array (MPA) is the core optical component of the Division of Focal-Plane (DoFP) imaging system, and its design is very important to the system’s performance. Traditional design methods rely on theoretical analysis and simulation, which is complicated and requires designers to have profound theoretical foundations. In order to simplify the design process and improve efficiency, this paper proposes a 2 × 2 MPA reverse-design strategy based on particle swarm optimization (PSO). This strategy uses intelligent algorithms to automatically explore the design space in order to discover MPA structures with optimal optical properties. In addition, the all-pass filter is introduced to the MPA superpixel unit in the design, which effectively reduces the crosstalk and frequency aliasing between pixels. In this study, two MPA models were designed: a traditional MPA and an MPA with an all-pass filter. The Degree of Linear Polarization (DOLP) image contrast is used as the evaluation standard and compared with the traditional MPA; the results show that the contrast of the newly designed traditional MPA image is increased by 21%, and the MPA image with the all-pass filter is significantly increased by 82%. Therefore, the reverse-design method proposed in this paper not only simplifies the design process but also can design an MPA with enhanced optical performance, which has obvious advantages over the traditional method.

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Dynamic Dark Channel Prior Dehazing with Polarization

Cited by 3 publications

References 24 publications

A Method for Extracting Contours of Building Facade Hollowing Defects Using Polarization Thermal Images Based on Improved Canny Algorithm

A Method for Extracting Contours of Building Facade Hollowing Defects Using Polarization Thermal Images Based on Improved Canny Algorithm

Implementation of Video-Dehazing Based on AOD-Net Using Docker on Jetson Nano

Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast

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