Results 51 to 60 of about 11,243,828 (208)

On the Duality Between Retinex and Image Dehazing [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions.
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío   +4 more
openaire   +5 more sources

Single image dehazing with optimal color channels and nonlinear transformation

, 2021
WOS:000670611800065Image dehazing is an important problem and it is useful as a preprocessing step in various automatic image analysis systems. The goal of image dehazing is the quality improvement of digital images by removing haze across the scene.
Thanh, Dang N. H., Erkan, Uğur, Prasath, V. B. Surya, V. B. Surya Prasath, Nguyen Ngoc Hien, Le Thi Thanh, Dang N. H. Thanh, Ugur Erkan   +7 more
core   +1 more source

Vision Transformers for Single Image Dehazing [PDF]

, 2022
Image dehazing is a representative low-level vision task that estimates latent haze-free images from hazy images. In recent years, convolutional neural network-based methods have dominated image dehazing.
Du, Xin, Song, Yuda, He, Zhuqing, Qian, Hui   +3 more
core   +1 more source

Enhance Low Visibility Image Using Haze-Removal Framework

IEEE Access, 2023
We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness.
Ping Juei Liu
doaj   +1 more source

IDGCP: Image Dehazing Based on Gamma Correction Prior [PDF]

, 2020
© 1992-2012 IEEE. This paper introduces a novel and effective image prior, i.e., gamma correction prior (GCP), which leads to an efficient image dehazing method, i.e., IDGCP. A step-by-step procedure of the proposed IDGCP is as follows.
Zhang, D, Ding, C, Guo, YJ, Ju, M
core   +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

The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression [PDF]

KSII Transactions on Internet and Information Systems, 2016
To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems.
Liping Wang 0011, Xiao Zhou 0002, Cheng-You Wang, Weizhi Li   +3 more
openaire   +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

Dehazing algorithm for complex environment video images considering visual communication effects

Journal of Radiation Research and Applied Sciences
The communication effect of outdoor computer vision systems is closely related to the dehazing performance of video images. Currently, video image restoration methods in complex environments are still in an urgent development stage.
Yisa Yu, Jianwen Li
doaj   +1 more source

Detection of Targets in Road Scene Images Enhanced Using Conditional GAN-Based Dehazing Model

Applied Sciences, 2023
Object detection is a classic image processing problem. For instance, in autonomous driving applications, targets such as cars and pedestrians are detected in the road scene video. Many image-based object detection methods utilizing hand-crafted features
Tsz-Yeung Chow, King-Hung Lee, Kwok-Leung Chan   +2 more
doaj   +1 more source