Results 41 to 50 of about 1,385 (183)

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

Atmospheric Light Estimation Using Polarization Degree Gradient for Image Dehazing

Sensors
A number of image dehazing techniques depend on the estimation of atmospheric light intensity. The majority of dehazing algorithms do not incorporate a physical model to estimate atmospheric light, leading to reduced accuracy and significantly impacting ...
Shuai Liu, Hang Li, Jinyu Zhao, Junchi Liu, Youqiang Zhu, Zhenduo Zhang   +5 more
doaj   +1 more source

A multimodal feature fusion image dehazing method with scene depth prior

IET Image Processing, 2023
Current dehazing networks usually only learn haze features in a single‐image colour space and often suffer from uneven dehazing, colour, and edge degradation when confronted with different scales of ground objects in the depth space of the scene.
Zhang Zhengpeng, Cheng Yan, Zhang Shuai, Bu Lijing, Deng Mingjun   +4 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

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

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

Image dehazing based on double branch convolution and detail enhancement

Xibei Gongye Daxue Xuebao
Because of detail loss, color distortion and contrast reduction in the image dehazing process in a haze condition, we proposed the image dehazing network based on double branch convolution and detail enhancement, which consists of image dehazing module ...
ZHAI Fengwen, ZHU Yutong, JIN Jing
doaj   +1 more source

Deep guided transformer dehazing network

Scientific Reports, 2023
Single image dehazing has received a lot of concern and achieved great success with the help of deep-learning models. Yet, the performance is limited by the local limitation of convolution.
Shengdong Zhang, Liping Zhao, Keli Hu, Sheng Feng, En Fan, Li Zhao   +5 more
doaj   +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

PhysMamba‐Unroll: Efficient Deep Unfolding via State Space Models for Edge Adverse Weather Restoration

Electronics Letters, Volume 62, Issue 1, January/December 2026.
PhysMamba‑Unroll, a framework that addresses the high computational cost of deploying deep unfolding networks on edge devices by synergistically integrating Mamba's linear complexity with physics‐informed unrolling. ABSTRACT Real‐time adverse weather image restoration on edge devices is hindered by a fundamental tension: Deep unfolding networks (DUNs ...
Yongkang Li, Xianglai Wang, Jiuyin Geng, Xia Xue, Fanke Meng   +4 more
wiley   +1 more source