Results 21 to 30 of about 6,454,903 (334)
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank [PDF]
Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress.
Shirui Huang +4 more
semanticscholar +1 more source
Spaceborne underwater imaging [PDF]
Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere ...
Yoav Y. Schechner +2 more
openaire +1 more source
As one of the key requirements for underwater exploration, underwater depth map estimation is of great importance in underwater vision research. Although significant progress has been achieved in the fields of image-to-image translation and depth map ...
Qi Zhao +3 more
doaj +1 more source
Fast Underwater Image Enhancement for Improved Visual Perception [PDF]
In this letter, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on
M. Islam, Youya Xia, Junaed Sattar
semanticscholar +1 more source
Abstract Attenuation of light in the ocean ranges widely depending on the environment and is especially significant in optical remote sensing. Absorption of light by ocean water limits the range light can travel before being extinguished. The complex interactions of scattering light and ocean water often lead to distortions of the signal
Shelby Metoyer, Darek Bogucki
openaire +1 more source
CA-GAN: Class-Condition Attention GAN for Underwater Image Enhancement
Underwater images suffer from serious color distortion and detail loss because of the wavelength-dependent light absorption and scattering, which seriously influences the subsequent underwater object detection and recognition.
Jing Wang +6 more
doaj +1 more source
Model-Based Underwater Image Simulation and Learning-Based Underwater Image Enhancement Method
Due to the absorption and scattering effects of light in water bodies and the non-uniformity and insufficiency of artificial illumination, underwater images often present various degradation problems, impacting their utility in underwater applications ...
Yidan Liu +7 more
doaj +1 more source
As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater environment, underwater image enhancement is facing challenges of light scattering, absorption,
Yang Yu, Chenfeng Qin
doaj +1 more source
Real-time GAN-based image enhancement for robust underwater monocular SLAM
Underwater monocular visual simultaneous localization and mapping (SLAM) plays a vital role in underwater computer vision and robotic perception fields.
Ziqiang Zheng +4 more
doaj +1 more source
Underwater computational ghost imaging
Since the quality of underwater classical optical imaging is constrained by the absorptive and scattering nature for underwater environment, it is a challenging task to obtain long distance imaging. Ghost imaging is a second-order correlation imaging method using co-incidence measurement, which has the advantages of disturbance-free and wider angle of ...
Mingnan Le +5 more
openaire +2 more sources

