Results 11 to 20 of about 6,454,903 (334)
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding [PDF]
Underwater images suffer from color casts and low contrast due to wavelength- and distance-dependent attenuation and scattering. To solve these two degradation issues, we present an underwater image enhancement network via medium transmission-guided ...
Chongyi Li +5 more
semanticscholar +1 more source
U-Shape Transformer for Underwater Image Enhancement [PDF]
The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater
Lintao Peng, Chunli Zhu, Liheng Bian
semanticscholar +1 more source
Underwater Images Enhancement by Revised Underwater Images Formation Model
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
An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years.
Chongyi Li +6 more
semanticscholar +1 more source
Lighting the darkness in the sea: A deep learning model for underwater image enhancement
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
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
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
Optical Image Blending for Underwater Mosaics [PDF]
Typical problems for creation of consistent underwater mosaic are misalignment and inhomogeneous illumination of the image frames, which causes visible seams and consequently complicates post-processing of the mosaics such as object recognition and shape
Gu, Fan, Rzhanov, Yuri
core +5 more sources
Benchmarking Underwater Image Enhancement and Restoration, and Beyond
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 Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
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

