Results 61 to 70 of about 3,779 (211)

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

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

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

Visibility enhancement of hazy images using polarimetric dehazing method based on stokes parameters

, 2017
Polarimetric dehazing methods are proven very effective in enhancing the contrast and visibility of images captured in hazy weather. In this paper, we analyze the capability of visibility enhancement in experiments. © 2017 OSA.
Zhang, Wenfei, Zhaofeng Bai, Bai, Zhaofeng, Wenfei Zhang, Liang, Jian, Qu, Enshi, Jian Liang, Ren, Liyong, Haijuan Ju, Ren, Liyong (renliy@opt.ac.cn), Liyong Ren, Ju, Haijuan, Enshi Qu   +12 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

Color Channel Transfer for Image Dehazing

, 2019
In this letter we introduce a simple but effective concept, Color Channel Transfer (CCT), that is able to substantially improve the performance of various dehazing techniques.
Ancuti, Cosmin, De Vleeschouwer, Christophe, Sbetr, Mateu, Ancuti, Codruta Orniana   +3 more
core   +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

Depth-Guided Dehazing Network for Long-Range Aerial Scenes

Remote Sensing
Over the past few years, the applications of unmanned aerial vehicles (UAVs) have greatly increased. However, the decrease in clarity in hazy environments is an important constraint on their further development.
Yihu Wang, Jilin Zhao, Liangliang Yao, Changhong Fu   +3 more
doaj   +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