Results 41 to 50 of about 26,581 (185)

Unpaired Underwater Image Enhancement Based on CycleGAN

open access: yesInformation, 2021
Underwater image enhancement recovers degraded underwater images to produce corresponding clear images. Image enhancement methods based on deep learning usually use paired data to train the model, while such paired data, e.g., the degraded images and the
Rong Du   +4 more
doaj   +1 more source

Framework for Underwater Image Enhancement

open access: yesProcedia Computer Science, 2020
Abstract In this paper, we propose a framework for enhancement of underwater images. Underwater images suffer from low-contrast, blur and non-uniform illumination resulting in poor quality images. Red color in the atmospheric light is absorbed early due to its shorter wavelength, whereas the colors like blue and green penetrate deeper into water due ...
Zeba Patel   +5 more
openaire   +1 more source

A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset

open access: yesIEEE 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 Underwater Image Enhancement Algorithm Based on MSR Parameter Optimization

open access: yesJournal 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

Deep Underwater Image Enhancement

open access: yes, 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

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

UNDERWATER IMAGE ENHANCEMENT BASED ON POLARIZATION IMAGING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. The need of high-quality underwater imaging is obviously required in many underwater applications. For example, underwater archaeology, underwater ecological research, underwater object detection and tracking. This paper presents a joint enhancing and denoising scheme for an image taken in underwater conditions.
L. Shen, Y. Zhao
openaire   +3 more sources

Visual-Quality-Driven Learning for Underwater Vision Enhancement

open access: yes, 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

Uncertainty Inspired Underwater Image Enhancement

open access: yes, 2022
A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE) is that the ground truth high-quality image is unavailable. Most of the existing methods first generate approximate reference maps and then train an enhancement network with certainty. This kind of method fails to handle the ambiguity of the reference map.
Fu, Zhenqi   +4 more
openaire   +2 more sources

Underwater Image Enhancement Using Scene Depth-Based Adaptive Background Light Estimation and Dark Channel Prior Algorithms

open access: yesIEEE 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

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