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Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors

IEEE Transactions on Image Processing, 2022
Underwater image enhancement aims at improving the visibility and eliminating color distortions of underwater images degraded by light absorption and scattering in water.
Peixian Zhuang   +3 more
semanticscholar   +1 more source

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond

IEEE Transactions on Image Processing, 2022
Underwater images suffer from severe distortion, which degrades the accuracy of object detection performed in an underwater environment. Existing underwater image enhancement algorithms focus on the restoration of contrast and scene reflection.
Risheng Liu   +3 more
semanticscholar   +1 more source

Differences of image enhancement in image-enhanced endoscopy: narrow band imaging versus flexible spectral imaging color enhancement

Journal of Gastroenterology, 2011
Narrow band imaging (NBI) can emphasize images of the surface microvasculature of lesions, because the central wavelengths of the NBI filter are 415 and 540 nm and these wavelengths are well absorbed by hemoglobin. Flexible spectral imaging color enhancement (FICE) increases the contrast in depictions of mucosal lesions.
Manabu, Muto   +6 more
openaire   +2 more sources

RetinexDIP: A Unified Deep Framework for Low-Light Image Enhancement

IEEE transactions on circuits and systems for video technology (Print), 2022
Low-light images suffer from low contrast and unclear details, which not only reduces the available information for humans but limits the application of computer vision algorithms.
Zunjin Zhao   +5 more
semanticscholar   +1 more source

Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion

IEEE transactions on circuits and systems for video technology (Print)
Underwater images typically suffer from various quality degradation issues due to the scattering and absorption of light, but these degraded-quality underwater images are unbeneficial for analysis and applications.
Weidong Zhang   +6 more
semanticscholar   +1 more source

DSLR: Deep Stacked Laplacian Restorer for Low-Light Image Enhancement

IEEE transactions on multimedia, 2021
Various images captured in complicated lighting conditions often suffer from deterioration of the image quality. Such poor quality not only dissatisfies the user expectation but also may lead to a significant performance drop in many applications.
Seokjae Lim, Wonjun Kim
semanticscholar   +1 more source

Image Enhancement of Historical Image Using Image Enhancement Technique

2020
Image enhancement technique is one of the very challenging issues in the image processing technique. The main motive of the image enhancement process is to work on an image or picture so that the result should be more applicable than original. Historical docs are very important origin of information, but it commonly suffers from the problem of getting ...
Roshan Raj Jajware   +1 more
openaire   +1 more source

Underwater Image Enhancement by Attenuated Color Channel Correction and Detail Preserved Contrast Enhancement

IEEE Journal of Oceanic Engineering, 2022
An underwater image often suffers from quality degradation issues, such as color deviations, low contrast, and blurred details, due to the absorption and scattering of light.
Weidong Zhang, Yudong Wang, Chongyi Li
semanticscholar   +1 more source

Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric

IEEE transactions on circuits and systems for video technology (Print), 2022
Due to the attenuation and scattering of light by water, there are many quality defects in raw underwater images such as color casts, decreased visibility, reduced contrast, et al..
Qiuping Jiang   +4 more
semanticscholar   +1 more source

Metalantis: A Comprehensive Underwater Image Enhancement Framework

IEEE Transactions on Geoscience and Remote Sensing
Underwater images normally suffer from visual degradation issues such as color deviations, low contrasts, and blurred details. Recently, numerous underwater image enhancement algorithms have been proposed to address these issues.
Hao Wang, Weibo Zhang, Lu Bai, P. Ren
semanticscholar   +1 more source

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