Results 51 to 60 of about 27,456 (324)
Underwater image enhancement network based on visual Transformer with multiple loss functions fusion
智能科学与技术学报, 2022 Due to the absorption and scattering of light in water, the images captured by underwater robots suffer from color distortion and reduced contrast.Aiming at alleviating the quality degradation phenomenon of underwater images, an underwater image ...
Xiaofeng CONG, Jie GUI, Jun ZHANG
doaj
IEEE Access, 2023 The rise of vision-based environmental, marine, and oceanic exploration research highlights the need for supporting underwater image enhancement techniques to help mitigate water effects on images such as blurriness, low color contrast, and poor quality.
Ashraf Saleem +4 more
doaj +1 more source
An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
Journal of Marine Science and Engineering, 2022 Underwater video images, as the primary carriers of underwater information, play a vital role in human exploration and development of the ocean. Due to the optical characteristics of water bodies, underwater video images generally have problems such as ...
Kai Hu +4 more
doaj +1 more source
An Underwater Image Enhancement Algorithm Based on MSR Parameter Optimization
Journal of Marine Science and Engineering, 2020 The quality of underwater images is often affected by the absorption of light and the scattering and diffusion of floating objects. Therefore, underwater image enhancement algorithms have been widely studied. In this area, algorithms based on Multi-Scale
Kai Hu +4 more
doaj +1 more source
Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images
Applied Sciences, 2022 Low illumination, light reflections, scattering, absorption, and suspended particles inevitably lead to critically degraded underwater image quality, which poses great challenges for recognizing objects from underwater images.
Kai Yan +4 more
doaj +1 more source
Deep Underwater Image Enhancement
, 2018 In an underwater scene, wavelength-dependent light absorption and scattering degrade the visibility of images, causing low contrast and distorted color casts. To address this problem, we propose a convolutional neural network based image enhancement model, i.e., UWCNN, which is trained efficiently using a synthetic underwater image database. Unlike the
Anwar, Saeed +2 more
openaire +2 more sources
Research on the method of underwater image enhancement
Journal of Physics: Conference Series, 2021 Abstract A multi-angle image enhancement method based on underwater imaging was proposed to solve the problems of color bias, geometric distortion and low contrast of the observed object in the complex and changeable underwater environment. Firstly, the gray world algorithm is used to preprocess the underwater image.
Jian Yang +3 more
openaire +2 more sources
IEEE Access, 2019 Due to the complexity of the underwater environment, underwater images captured by optical cameras usually suffer from haze and color distortion.
Shudi Yang +3 more
doaj +1 more source
Visual-Quality-Driven Learning for Underwater Vision Enhancement
, 2018 The image processing community has witnessed remarkable advances in enhancing and restoring images. Nevertheless, restoring the visual quality of underwater images remains a great challenge.
Amaral, Henrique Grandinetti Barbosa +3 more
core +1 more source
A Review of Underwater Image Enhancement and Restoration Techniques Based on Gan [PDF]
ITM Web of ConferencesIn recent years, underwater image enhancement and restoration technology have significantly contributed to the efficiency of marine operations and the advancement of seabed resource development, which carries substantial academic significance and ...
Zhao Xin
doaj +1 more source