Results 31 to 40 of about 820 (130)

Dual Multi-Scale Dehazing Network

IEEE Access, 2023
Single-image haze removal is a challenging ill-posed problem. Recently, methods based on training on synthetic data have achieved good dehazing results. However, we note that these methods can be further improved.
Shengdong Zhang, Xiaoqin Zhang, Linlin Shen   +2 more
doaj   +1 more source

Delving Deeper Into Image Dehazing: A Survey

IEEE Access, 2023
Images captured under foggy or hazy weather conditions are affected by the scattering of atmospheric particles, resulting in decreased contrast and color variation, thereby limiting their practical applications.
Guohou Li, Jia Li, Gongchao Chen, Zhibin Wang, Songlin Jin, Chang Ding, Weidong Zhang   +6 more
doaj   +1 more source

Large‐scale characterization of horizontal forest structure from remote sensing optical images

Remote Sensing in Ecology and Conservation, Volume 12, Issue 4, Page 611-628, August 2026.
Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu, Martin Brandt, Xiaowei Tong, Maurice Mugabowindekwe, Yuemin Yue, Sizhuo Li, Qiue Xu, Siyu Liu, Florian Reiner, Kelin Wang, Zhengchao Chen, Yongqing Bai, Rasmus Fensholt   +12 more
wiley   +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

Task‐Aligned Haze Removal With Semantic‐Aware Fusion and Contrast Self‐Correction

CAAI Transactions on Intelligence Technology, Volume 11, Issue 4, Page 978-993, August 2026.
ABSTRACT Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often ...
Jinbin Wang, Aiping Yang, Guosong Jiang, Wenlong Yu, Dongwei Ren, Qinghua Hu   +5 more
wiley   +1 more source

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

Image Haze Removal Based on Superpixels and Markov Random Field

IEEE Access, 2020
Image haze removal is critical for autonomous driving. However, it is a challenging task for the existing image dehazing algorithms to eliminate the block effect completely and handle objects similar to light (such as snowy objects and white buildings ...
Yibo Tan, Guoyu Wang
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

Haze-Aware Attention Network for Single-Image Dehazing

Applied Sciences
Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current ...
Lihan Tong, Yun Liu, Weijia Li, Liyuan Chen, Erkang Chen   +4 more
doaj   +1 more source