Fast Underwater Image Enhancement for Improved Visual Perception [PDF]
In this letter, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on
M. Islam, Youya Xia, Junaed Sattar
semanticscholar +1 more source
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system.
Tawsifur Rahman +10 more
semanticscholar +1 more source
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception [PDF]
Due to the wavelength-dependent light attenuation, refraction and scattering, underwater images usually suffer from color distortion and blurred details. However, due to the limited number of paired underwater images with undistorted images as reference,
Qi Qi +5 more
semanticscholar +1 more source
Cformer: An underwater image enhancement hybrid network combining convolution and transformer
Underwater images are the most direct and effective ways to obtain underwater information. However, underwater images typically suffer from contrast reduction and colour distortion due to the absorption and scattering of water by light, which seriously ...
Ruhui Deng, Lei Zhao, Heng Li, Hui Liu
doaj +1 more source
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement [PDF]
Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account the semantic information ...
Yuhui Wu +6 more
semanticscholar +1 more source
Pyramid Diffusion Models For Low-light Image Enhancement [PDF]
Recovering noise-covered details from low-light images is challenging, and the results given by previous methods leave room for improvement. Recent diffusion models show realistic and detailed image generation through a sequence of denoising refinements ...
Dewei Zhou, Zongxin Yang, Yi Yang
semanticscholar +1 more source
Image Enhancement Algorithm Based on GAN Neural Network
Deep underwater color images have problems such as low brightness, poor contrast, and loss of local details. In order to effectively enhance low-quality underwater images, this paper proposes an enhancement method based on GAN (Generative Adversarial ...
Bo Xu, Dong Zhou, Weijing Li
doaj +1 more source
LIME: Low-Light Image Enhancement via Illumination Map Estimation
When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor quality may also significantly degenerate the performance of many computer vision and multimedia ...
Xiaojie Guo, Yu Li, Haibin Ling
semanticscholar +1 more source
Multi-Scale Ensemble Learning for Thermal Image Enhancement
In this study, we propose a multi-scale ensemble learning method for thermal image enhancement in different image scale conditions based on convolutional neural networks.
Yuseok Ban, Kyungjae Lee
doaj +1 more source
COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT
The chromosome is a set of DNA structure that carry information about our life. The information can be obtained through Karyotyping. The process requires a clear image so the chromosome can be evaluate well.
Dewa Made Sri Arsa +5 more
doaj +1 more source

