Results 61 to 70 of about 11,243,828 (208)

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 709-725, June 2026.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

A Variational Framework for Single Image Dehazing [PDF]

, 2015
Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image struc- ture under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and ...
Adrian Galdran, Javier Vazquez-Corral, David Pardo, Marcelo Bertalmío   +3 more
openaire   +2 more sources

Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending

Remote Sensing
Single-image dehazing is an ill-posed problem that has attracted a myriad of research efforts. However, virtually all methods proposed thus far assume that input images are already affected by haze. Little effort has been spent on autonomous single-image
Siyeon Han, Dat Ngo, Yeonggyu Choi, Bongsoon Kang   +3 more
doaj   +1 more source

Automating a Dehazing System by Self-Calibrating on Haze Conditions

Sensors, 2021
Existing image dehazing algorithms typically rely on a two-stage procedure. The medium transmittance and lightness are estimated in the first stage, and the scene radiance is recovered in the second by applying the simplified Koschmieder model.
Dat Ngo, Seungmin Lee, Gi-Dong Lee, Bongsoon Kang   +3 more
doaj   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Nighttime Image Dehazing Based on Point Light Sources

Applied Sciences, 2022
Images routinely suffer from quality degradation in fog, mist, and other harsh weather conditions. Consequently, image dehazing is an essential and inevitable pre-processing step in computer vision tasks.
Xin-Wei Yao, Xinge Zhang, Yuchen Zhang, Weiwei Xing, Xing Zhang   +4 more
doaj   +1 more source

Sea Ice Floe Segmentation in Close‐Range Optical Imagery Using Active Contour and Foundation Models

Earth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The size of sea ice floes in the marginal ice zone (MIZ) is a key factor influencing ice coverage, albedo, wave propagation, and ocean–atmosphere energy exchanges. Floe size can be observed by processing visual‐range imagery from ships, aircraft, or satellites.
Giulio Passerotti, Alberto Alberello, Marcello Vichi, Luke G. Bennetts, James Bailey, Alessandro Toffoli   +5 more
wiley   +1 more source

Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion

, 2016
Polarimetric dehazing methods have proven effective in enhancing the quality of chromatic hazy images. Considering that the infrared radiance has a better capacity for traveling through the haze, in this paper we propose a polarimetric dehazing method ...
Zhang, Wenfei, Ren, Liyong, Ren, Liyong (renliy@opt.ac.cn), Liang, Jian, Ju, Haijuan, Qu, Enshi   +5 more
core   +1 more source

Artificial Compound Eye for Clear Vision in Harsh Environment

Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.
Artificial compound eye (CE) with exceptional imaging and motion tracking capturing the movement of a spider and swinging thread with a wide field of view. Surface modifications ensure clear vision of alphabetic letters in rain and fog. Images captured in fog with CE remains visible 3 times longer than simple eyes (SE).
Kehinde Kassim, Qiuyun Lu, Hao Xuan, Nobuo Maeda, Xingyu Li, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

RABNet: A Residual Attention‐Based Network for Visibility Restoration in Hazy Images

IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
Image dehazing enhances visibility and image quality, enabling better decision‐making in critical applications such as surveillance, remote sensing, and autonomous driving. However, single‐image dehazing remains challenging due to the need for smoothness in homogeneous regions, accurate edge preservation, texture fidelity, and artifact‐free ...
Syeda Rabail Zahra, Farhan Hussain, Ali Hassan, Tehseen Mazhar, Amal Al-Rasheed, Muhammad Amir Khan, Wasim Ahmad, Habib Hamam, Ramin Ranjbarzadeh   +8 more
wiley   +1 more source