Subjective comparison on the ITS synthetic hazy dataset.

Subjective comparison on the ITS synthetic hazy dataset.

<p>(a) Hazy image, (b) Ground Truth, (c) FFA [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref002" target="_blank">2</a>], (d) GDN [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.032975...

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Bibliographic Details
Main Author: Xiaoxia Lin (9165920) (author)
Other Authors: Zhengao Li (4819893) (author), Dawei Huang (250465) (author), Wancheng Feng (21453184) (author), XinJun An (22513443) (author), Lin Sun (105539) (author), Niuzhen Yu (22513446) (author), Yan Li (23143) (author), Chunwei Leng (22513449) (author)
Published: 2025
Subjects:
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
unreasonable energy structure
unlike existing approaches
significant emissions generated
remains particularly challenging
reducing detail loss
reducing computational costs
reduces computational costs
recurrent haze phenomena
pivotal research frontier
natural visual features
level visual tasks
level feature representation
level feature inject
key structural features
g ., psnr
g ., niqe
experimental results demonstrate
current environmental context
conducted comprehensive experiments
clear structural content
achieving higher scores
art dehazing methods
degraded image contrast
positioned image dehazing
image dehazing research
dehazing restoration results
hazediff surpasses state
structure retention model
clean training datasets
dehazing image
dehazing effect
restoration process
diffusion model
synthetic datasets
different datasets
reference image
xlink ">
transportation activities
reduced resolution
quality images
propose hazediff
novel perspective
method provides
initial noise
generalization ability
free diffusion
evaluation metrics
enhancing generalization
effectively guiding
diffusion process
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Summary:<p>(a) Hazy image, (b) Ground Truth, (c) FFA [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref002" target="_blank">2</a>], (d) GDN [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref003" target="_blank">3</a>], (e) IA-YOLO [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref012" target="_blank">12</a>], (f) Dehamer [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref005" target="_blank">5</a>], (g) MSBDN [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329759#pone.0329759.ref004" target="_blank">4</a>], (h) Ours.</p>

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