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Model based image restoration for underwater images
SPIE Proceedings, 2013The inspection of offshore parks, dam walls and other infrastructure under water is expensive and time consuming, because such constructions must be inspected manually by divers. Underwater buildings have to be examined visually to find small cracks, spallings or other deficiencies.
Thomas Stephan +3 more
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Underwater image restoration by structured light and flood light imaging
Applied Optics, 2021An underwater optical imaging system is indispensable for many oceanic engineering tasks, yet still plagued by poor visibility conditions. The serious degradation of underwater image results from light scattering and absorption. Removal of the backscattered light is the focus issue of underwater imaging technology to improve the image visibility ...
Benxing, Gong, Guoyu, Wang
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Restoration of turbulence degraded underwater images
Optical Engineering, 2012The ability to image underwater is highly desired for scientific and military applications, including optical communications, submarine awareness, diver visibility, and mine detection. Underwater imaging is severely impaired by scattering and optical turbulence associated with refractive index fluctuations.
Andrey V. Kanaev +3 more
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2018
Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise.
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Underwater imaging has been widely used as a tool in many fields, however, a major issue is the quality of the resulting images/videos. Due to the light's interaction with water and its constituents, the acquired underwater images/videos often suffer from a significant amount of scatter (blur, haze) and noise.
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ROV based underwater blurred image restoration
Journal of Ocean University of Qingdao, 2003Summary: We present a method of ROV based image processing to restore underwater blurry images from the theory of light and image transmission in the sea. A computer is used to simulate the maximum detection range of the ROV under different water body conditions.
Liu, Zhishen, Ding, Tianfu, Wang, Gang
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Underwater image transmission and blurred image restoration
Optical Engineering, 2001Because light is scattered and absorbed by seawater, the images obtained underwater are always blurry after transmitted through a certain distance. The point spread function (PSF) and modulation transfer function (MTF) are important properties of seawater to predict underwater light propagation and underwater image quality.
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Computergraphical Model for Underwater Image Simulation and Restoration
2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2014Visual imaging under water is characterized by low range of visibility and poor image quality. Light interacts with water and its inherent particles in the form of absorption and scattering, causing image degradations, which have to by considered by underwater imaging systems.
Stephan, T., Beyerer, Jürgen
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Underwater Depth Estimation and Image Restoration Based on Single Images
IEEE Computer Graphics and Applications, 2016In underwater environments, the scattering and absorption phenomena affect the propagation of light, degrading the quality of captured images. In this work, the authors present a method based on a physical model of light propagation that takes into account the most significant effects to image degradation: absorption, scattering, and backscattering ...
Paulo L J, Drews +3 more
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An underwater turbulence degraded image restoration algorithm
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017, 2017Underwater turbulence occurs due to random fluctuations of temperature and salinity in the water. These fluctuations are responsible for variations in water density, refractive index and attenuation. These impose random geometric distortions, spatio-temporal varying blur, limited range visibility and limited contrast on the acquired images.
Andrew J. Lambert +2 more
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AquaGAN: Restoration of Underwater Images
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022Chaitra Desai +4 more
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