Results 71 to 80 of about 303 (154)
IET Image Processing, Volume 20, Issue 1, January/December 2026.Sand‐dust degradation significantly reduces visibility, colour fidelity, and structural detail in outdoor imaging systems. This paper proposes TradMS‐ResGAN, a sequential multi‐stage restoration framework that combines a physically interpretable enhancement pipeline with a lightweight multi‐scale residual GAN for refined texture reconstruction and ...
Muhammad Masood +2 more
wiley +1 more source
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning
, 2022 While the wisdom of training an image dehazing model on synthetic hazy data can alleviate the difficulty of collecting real-world hazy/clean image pairs, it brings the well-known domain shift problem.
Qin, Jing +6 more
core
UDAPA: A Lightweight Adapter for Robust Underwater Image Enhancement via Input‐Side Alignment
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose UDAPA, a lightweight adapter framework for robust underwater image enhancement via input‐side alignment. Rather than modifying the pre‐trained backbone, UDAPA adapts degraded inputs toward a feature distribution that is more compatible with the frozen pre‐trained model.
Hui Zhang, Zhaolong Gao, Jinjiang Li
wiley +1 more source
Enhanced detail & dehaze technique (DDE) for static haze image improvement [PDF]
, 2018 This research is related to the removal of the haze effects from a haze degraded image and enhances the image details. The Enhanced Detail & Dehaze technique (DDE) is proposed in order to satisfy the aim of developing an enhanced method by integrating ...
Danny, Yao Ngo Lung
core +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose a task‐driven adaptive image enhancement method and a feature enhancement strategy (DuoEnhance). This method performs dehazing through adaptive image enhancement and combines it with dilated‐aware weighted convolution to improve the model's perception of blurred edges and low‐contrast regions, enabling object detection on images captured by ...
Xuejuan Han +3 more
wiley +1 more source
Removal of fog from hazy images and their restoration
Journal of King Saud University: Engineering SciencesThe prominent reason behind road accidents during the winter season is the presence of fog in the environment. Other important reasons for the degradation of visibility are haze, smog, clouds and rain.
Vidya Nitin More, Vibha Vyas
doaj +1 more source
Enhanced DCP filter for Real-World Hazy Scenes [PDF]
, 2017 Haze is an atmospheric phenomenon that considerably degrades the visibility of out- door scenes. This happens due to atmosphere particles that absorb and disperse the sunshine.
, Sanjay Sharma, Padma J Bonde
core +1 more source
Pixel-Dehaze: Deciphering Dehazing Through Regression-Based Depth and Scattering Estimation
Big Data and Cognitive ComputingHaze significantly reduces visibility in critical applications such as autonomous driving, surveillance, and firefighting, making its removal essential for safety and reliability.
Vaibhav Baldeva +5 more
doaj +1 more source
SINGLE IMAGE DEHAZING USING PHYSICS-INFORMED CONVOLUTIONAL AUTOENCODER
Модели, системы, сети в экономике, технике, природе и обществеBackground. Generally, haze can be considered to be one of the most fundamental phenomena causing image visibility degradation. Numerous haze removal approaches have been proposed and most of them have achieved significant progress.
A.V. Kozhevnikova, M.A. Mitrokhin
doaj +1 more source
ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention
SensorsSingle image dehazing is a fundamental task in computer vision, aiming to recover a clear scene from a hazy input image. To address the limitations of traditional dehazing algorithms—particularly in global feature association and local detail ...
Yanfei Chen +6 more
doaj +1 more source