Results 11 to 20 of about 26,334 (285)

Fast underwater image enhancement based on a generative adversarial framework

open access: yesFrontiers in Marine Science, 2023
Underwater image enhancement is a fundamental requirement in the field of underwater vision. Along with the development of deep learning, underwater image enhancement has made remarkable progress. However, most deep learning-based enhancement methods are
Yang Guan   +8 more
doaj   +1 more source

Automated soil hardness testing machine [PDF]

open access: yes, 2007
This paper describes the design and performance of a mechatronic system for controlling a standard drop-hammer mechanism that is commonly used in performing outdoor soil or ground hardness tests. A low-cost microcontroller is used to control a hydraulic
Cubero, Samuel N.   +1 more
core   +8 more sources

Enhancing underwater images by fusion [PDF]

open access: yesACM SIGGRAPH 2011 Posters, 2011
When photographs are taken in underwater conditions the visibility of the scene is degraded significantly. This is due to the fact that the radiance of a point in the scene is directly influenced by the medium scattering. Practically, distant objects and part of the scene suffers from poor visibility, loss of contrast and faded colors.
Ancuti, Cosmin   +3 more
openaire   +2 more sources

Real-time GAN-based image enhancement for robust underwater monocular SLAM

open access: yesFrontiers in Marine Science, 2023
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

Effective solution for underwater image enhancement

open access: yesOptics Express, 2021
Degradation of underwater images severely limits people to exploring and understanding underwater world, which has become a fundamental but vital issue needing to be addressed in underwater optics. In this paper, we develop an effective solution for underwater image enhancement.
Ye Tao, Lili Dong, Luqiang Xu, Wenhai Xu
openaire   +2 more sources

Underwater Images Enhancement by Revised Underwater Images Formation Model

open access: yesIEEE Access, 2022
In this paper, we proposed the efficient and appealing technique for underwater images enhancement. Underwater images often suffer from haze, color distortion, low contrast and loss of the human acuity due to light scattering and absorption. To tackle these issues, proposed precise model is presented expressively showed that: (1) the estimation of the ...
Soo-Chang Pei, Chia-Yi Chen
openaire   +2 more sources

Domain Adaptation for Underwater Image Enhancement

open access: yesIEEE Transactions on Image Processing, 2023
Recently, learning-based algorithms have shown impressive performance in underwater image enhancement. Most of them resort to training on synthetic data and achieve outstanding performance. However, these methods ignore the significant domain gap between the synthetic and real data (i.e., interdomain gap), and thus the models trained on synthetic data ...
Zhengyong Wang   +5 more
openaire   +3 more sources

Benchmarking Underwater Image Enhancement and Restoration, and Beyond

open access: yesIEEE Access, 2020
Image enhancement and restoration is among the most investigated topics in the field of underwater machine vision. The objective image quality assessment is a fundamental part of optimizing underwater enhancement and restoration technologies.
Guojia Hou   +5 more
doaj   +1 more source

An End-to-End Underwater-Image-Enhancement Framework Based on Fractional Integral Retinex and Unsupervised Autoencoder

open access: yesFractal and Fractional, 2023
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

U-Shape Transformer for Underwater Image Enhancement

open access: yesIEEE Transactions on Image Processing, 2023
under ...
Lintao Peng, Chunli Zhu, Liheng Bian
openaire   +3 more sources

Home - About - Disclaimer - Privacy