Results 11 to 20 of about 13,678 (263)

Underwater Image Enhancement Using a Diffusion Model with Adversarial Learning [PDF]

open access: yesJournal of Imaging
Due to the distinctive attributes of underwater environments, underwater images frequently encounter challenges such as low contrast, color distortion, and noise.
Xueyan Ding   +4 more
doaj   +2 more sources

Lighting the darkness in the sea: A deep learning model for underwater image enhancement

open access: yesFrontiers in Marine Science, 2022
Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie   +5 more
doaj   +1 more source

An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning

open access: yesJournal 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 Restoration Deep Learning Network Combining Attention Mechanism and Brightness Adjustment

open access: yesJournal of Marine Science and Engineering, 2023
This study proposes Combining Attention and Brightness Adjustment Network (CABA-Net), a deep learning network for underwater image restoration, to address the issues of underwater image color-cast, low brightness, and low contrast.
Jianhua Zheng   +6 more
doaj   +1 more source

Underwater image enhancement with image colorfulness measure [PDF]

open access: yesSignal Processing: Image Communication, 2021
Abstract Due to the absorption and scattering effects of the water, underwater images tend to suffer from many severe problems, such as low contrast, grayed out colors and blurring content. To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
Xi Yang 0009   +2 more
openaire   +2 more sources

Underwater image quality assessment method based on color space multi-feature fusion

open access: yesScientific Reports, 2023
The complexity and challenging underwater environment leading to degradation in underwater image. Measuring the quality of underwater image is a significant step for the subsequent image processing step. Existing Image Quality Assessment (IQA) methods do
Tianhai Chen   +4 more
doaj   +1 more source

An Underwater Image Enhancement Algorithm Based on Generative Adversarial Network and Natural Image Quality Evaluation Index

open access: yesJournal of Marine Science and Engineering, 2021
When underwater vehicles work, underwater images are often absorbed by light and scattered and diffused by floating objects, which leads to the degradation of underwater images.
Kai Hu   +5 more
doaj   +1 more source

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.
Cosmin Ancuti   +3 more
openaire   +2 more sources

Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction

open access: yesSensors, 2021
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

CA-GAN: Class-Condition Attention GAN for Underwater Image Enhancement

open access: yesIEEE Access, 2020
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

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