Results 21 to 30 of about 12,320,508 (255)
Underwater Image Enhancement Using An Integrated Colour Model. [PDF]
In underwater situations, clarity of images are degraded by light absorption and scattering. This causes one colour to dominate the image.
Talib, Abdullah Zawawi +3 more
core +1 more source
Literature Survey on Underwater Image Enhancement
Underwater image enhancement is a challenging task and has gained priority in recent years, as the human eye cannot clearly perceive underwater images. We introduce an effective technique to develop the images captured underwater which are degraded due ...
Marshall Mathews +3 more
core +1 more source
DataSheet_1_Fast underwater image enhancement based on a generative adversarial framework.zip
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
Xiaoyan Liu (158152) +6 more
core +1 more source
DuGAN: An effective framework for underwater image enhancement [PDF]
Abstract Underwater image enhancement is an important low‐level vision task with much attention of community. Clear underwater images are helpful for underwater operations. However, raw underwater images often suffer from different types of distortions caused by the underwater environment.
Huiqing Zhang +3 more
openaire +2 more sources
BA-GAN: Block Attention GAN model for Underwater Image Enhancement
Since underwater images are an important route to underwater information, underwater image enhancement becomes an important fundamental study to underwater vision tasks. Regarding problems with underwater degraded images, such as color distortion causing
Liu SB(刘世本) +5 more
core +1 more source
A robust underwater image enhancement algorithm
Abstract Capturing clear images in underwater environments is a major challenge in marine engineering. There are many issues to consider in obtaining clear underwater images. Such as climate, environment and human factors. The most important reasons are the atomization effect caused by dispersion and the color cast caused by inconsistent energy
Kuo-Jui Hu +4 more
openaire +2 more sources
A data-centric framework for combating domain shift in underwater object detection with image enhancement [PDF]
Underwater object detection has numerous applications in protecting, exploring, and exploiting aquatic environments. However, underwater environments pose a unique set of challenges for object detection including variable turbidity, colour casts, and ...
Stantic, Bela +2 more
core +1 more source
Underwater image enhancement with latent consistency learning‐based color transfer [PDF]
Due to the inevitable wavelength‐dependent light absorption and forward/backward scattering, underwater images usually suffer severe color distortion and are hazy.
Q. M. Jonathan Wu +4 more
core +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
Electrodeposition in Structural Lattices of Variable Architectures
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon +3 more
wiley +1 more source

