Low-Light Underwater Image Enhancement for Deep-Sea Tripod

Li, Yujie; Li, Jianru; Kim, Hyoungseop; Serikawa, Seiichi

doi:10.1109/access.2019.2897691

Cited by 13 publications

(5 citation statements)

References 18 publications

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“…Li Y et al proposed an adaptive bright-color channel-based low-light image-enhancement method to enhance the underwater images. The experimental results demonstrated that the proposed method was effective [19]. Lu H et al proposed a light field imaging approach for solving underwater imaging problems in a low-intensity light environment.…”

Section: Introductionmentioning

confidence: 89%

The deep-sea camera with three detectors based on triple-prism

quan¹,

Wei²,

Li³

et al. 2023

Preprint

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The deep-sea photogrammetry is an important means of deep-sea exploration. Due to the attenuation of light in water, deep-sea camera systems need deep-sea lamps to provide the light source, which consume lots of energy. So the light utilization efficiency of deep-sea optical camera affects the load capacity and operation capacity of deep-sea platforms. In addition, due to the non-linearity of light attenuation in different wavelength, the deep-sea optical images generally suffer from color deviation with tending to be blue and green, which leads to the decline of operation efficiency and the increase of scientific research cost in deep-sea exploration. In order to improve the light utilization efficiency and enhance the color restoration of deep-sea camera, we proposed, designed and developed a deep-sea camera with three detectors based on triple-prism (TD&TP-DSC) for the first time. In this camera system, three detectors combined with triple-prism aimed to improve the light utilization efficiency, and the coatings on the triple-prism were designed for gating waveband to improve the color restoration. With carrying out a series of experiments in water tank, water pool, Qiandao Lake and the South China Sea, the low-light performance and color restoration of TD&TP-DSC were certified. The experimental result showed that TD&TP-DSC had advantages over the common deep-sea camera, which provided enlightenment for the development of new generation deep-sea camera system.

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Section: Introductionmentioning

confidence: 89%

The deep-sea camera with three detectors based on triple-prism

quan¹,

Wei²,

Li³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Since the information of red channel is not dependable in diverse underwater scenes based on the analysis of UDCP [22], the maximum intensity prior (MIP) [23] and blurriness-based [24] approaches are proposed. To dealing with the lowlight deep-sea circumstance, Li [25] proposes an adaptive bright-color channel based low-light underwater enhancement method followed by a denoising and a color correction method to enhance such images and remove noise and artifacts. In [10], Yang et al combine maximum scene depth estimation and adaptive color correction to accurately estimate the background light.…”

Section: Underwater Image Restoration Methodsmentioning

confidence: 99%

Multi-Purpose Oriented Real-World Underwater Image Enhancement

2020

IEEE Access

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Images captured underwater usually suffer from weak illumination, color cast, fuzz and noise, which severely degrade the visibility. Numerous methods have been proposed to improve the quality of underwater images, but rarely of them can give a comprehensive consideration to all these problems, which makes them hard to adapt for various and complex real-world underwater scenes. Herein, a novel multipurpose oriented approach for real-world underwater image enhancement is proposed. To manipulate different information on the corresponding layers, we firstly decompose the input image into illumination layer and reflectance layer. Subsequently, compensation of the brightness is carried out on the illumination layer, while color correction and contrast enhancement are implemented on the reflectance layer through a multi-scale processing strategy. Benefiting from this strategy, the proposed approach is provided with high control flexibility, which can significantly improve the visibility of underwater images while efficiently suppress the amplification of noise. Both qualitative and quantitative evaluations demonstrate that the proposed method has superior robustness, accuracy and effectiveness for complex marine circumstance.

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“…Edwin Land composed the Retinex Theory. [10][11][12] The word 'Retinex' was derived from two words -Retina + Cortex. This theory states that the way we perceive the colours of the objects around us results from the light incident around it and the wavelength of light that the object reflects, which enters our eyes.…”

Section: Retinex Theorymentioning

confidence: 99%

Comparative Analysis of Image Enhancement Algorithms

Bane¹,

Choudhary²,

Gupta³

et al. 2022

SMSJ

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In the complex instruments utilised in essential fields such as satellite cameras, CT scanners, and High-Resolution Cameras (Underwater), image capture is critical without human-rated aberrations, sounds, or atmospheric disturbances. Even full reference QA (quality assessment) approaches have a limited ability to predict quality accurately. As a result, the difficulty of evaluating and enhancing photographs is further subdivided into domain-specific issues by focusing on a small set of artefacts. The most popular is entropy, which is usually relevant in picture coding: it is a lower limit for the average coding length in bits per pixel that may be attained without any loss of information by an optimal coding scheme. The word 'specific' is significant because it establishes right away that the strategies covered in this paper are primarily problemsolving techniques. For example, a procedure that works well for improving X-ray images may not be the ideal option. Thus, a method that works well for boosting X-ray photos may not be the greatest option for enhancing photographs obtained by a satellite thousands of miles away from the Earth. Image enhancement algorithms proposed in this paper are Intensity-Hue-Saturation transformation, Histogram Equalization algorithms, Edge Detection techniques and Retinex theory algorithms. These algorithms are implemented under satellite imagery, medical scans, underwater images, and their parameter analysis.

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Low-Light Underwater Image Enhancement for Deep-Sea Tripod

Cited by 13 publications

References 18 publications

The deep-sea camera with three detectors based on triple-prism

The deep-sea camera with three detectors based on triple-prism

Multi-Purpose Oriented Real-World Underwater Image Enhancement

Comparative Analysis of Image Enhancement Algorithms

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