activity
20202026
most citedUIF: An Objective Quality Assessment for Underwater Image Enhancement

104 citations · 185 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2026

Beyond Fidelity: Semantic Similarity Assessment in Low-Level Image Processing

Runjie Wang, Weiling Chen, Tiesong Zhao +1

Low-level image processing has long been evaluated mainly from the perspective of visual fidelity. However, with the rise of deep learning and generative models, processed images m…

cs.CV2026

MSDS: Deep Structural Similarity with Multiscale Representation

Danling Kang, Xue-Hua Chen, Bin Liu +3

Deep-feature-based perceptual similarity models have demonstrated strong alignment with human visual perception in Image Quality Assessment (IQA). However, most existing approaches…

cs.CV2024

Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference

Keke Zhang, Weiling Chen, Tiesong Zhao +1

Image Quality Assessment (IQA) with references plays an important role in optimizing and evaluating computer vision tasks. Traditional methods assume that all pixels of the referen…

eess.IV2023

Geometry-based spherical JND modeling for 360 display

Hongan Wei, Jiaqi Liu, Bo Chen +3

360 videos have received widespread attention due to its realistic and immersive experiences for users. To date, how to accurately model the user perceptions on 360…

cs.CV2023

A Correction-Based Dynamic Enhancement Framework towards Underwater Detection

Yanling Qiu, Qianxue Feng, Boqin Cai +2

To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step. However, most of the existing enhancement methods…

eess.IV2023★ 19 cited

Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment

Liqun Lin, Yang Zheng, Weiling Chen +2

Compressed videos often exhibit visually annoying artifacts, known as Perceivable Encoding Artifacts (PEAs), which dramatically degrade video visual quality. Subjective and objecti…

cs.CV2022★ 57 cited

LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal

Junhong Lin, Nanfeng Jiang, Zhentao Zhang +2

Snow removal aims to locate snow areas and recover clean images without repairing traces. Unlike the regularity and semitransparency of rain, snow with various patterns and degrada…

cs.CV2022★ 104 cited

UIF: An Objective Quality Assessment for Underwater Image Enhancement

Yannan Zheng, Weiling Chen, Rongfu Lin +1

Due to complex and volatile lighting environment, underwater imaging can be readily impaired by light scattering, warping, and noises. To improve the visual quality, Underwater Ima…

eess.IV2022

Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study

Liqun Lin, Zheng Wang, Jiachen He +3

In the video coding process, the perceived quality of a compressed video is evaluated by full-reference quality evaluation metrics. However, it is difficult to obtain reference vid…

eess.IV2022★ 1 cited

SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution

Keke Zhang, Tiesong Zhao, Weiling Chen +2

The image Super-Resolution (SR) technique has greatly improved the visual quality of images by enhancing their resolutions. It also calls for an efficient SR Image Quality Assessme…

cs.CV2022★ 3 cited

Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning

Weiling Chen, Rongfu Lin, Honggang Liao +3

The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue.…

eess.IV2020★ 1 cited

Learning-Based Quality Assessment for Image Super-Resolution

Tiesong Zhao, Yuting Lin, Yiwen Xu +2

Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial resolution of images. Quality evaluation metrics play a critical role in comparing and optimi…