Underwater image enhancement via principal component fusion of foreground and background

W Zhang, Q Liu, Y Feng, L Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Underwater imaging systems have evolved into essential hardware equipment for
develo** and utilizing marine resources. However, the complex underwater physical …

Lhnetv2: A balanced low-cost hybrid network for single image dehazing

S Yuan, J Chen, W Jiang, Z Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Single-image dehazing is a challenging task that requires both local details and global
distribution. Existing methods face challenges in color imbalance and inconsistent details …

Blind image quality assessment with coarse-grained perception construction and fine-grained interaction learning

B Hu, T Zhao, J Zheng, Y Zhang, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Image Quality Assessment (IQA) plays an important role in the field of computer vision.
However, most of the existing metrics for Blind IQA (BIQA) adopt an end-to-end way and do …

Hallucinated-PQA: No reference point cloud quality assessment via injecting pseudo-reference features

B Mu, F Shao, H Chen, Q Jiang, L Xu, YS Ho - Expert Systems with …, 2024 - Elsevier
Point clouds (PCs) have been increasingly applied in business and life, but a variety of PC
transmission and generation systems inevitably produce various types of distortions …

[HTML][HTML] No-reference quality evaluation of realistic hazy images via singular value decomposition

I Kajo, A Chahi, M Kas, Y Ruichek - Neurocomputing, 2024 - Elsevier
Haze is one of the atmospheric image degradations that causes severe distortions to
outdoor images such as low contrast, color shift, and structure damage. Due to the unique …

Review and evaluation of recent advancements in image dehazing techniques for vision improvement and visualization

S Shit, DN Ray - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Vision gets obscured in adverse weather conditions, such as heavy downpours, dense fog,
haze, snowfall, etc., which increase the number of road accidents yearly. Modern …

Is the development of objective image quality assessment methods kee** pace with technological developments?

MA Rahman, H Bhuiyan - International journal of electrical and …, 2024 - hrcak.srce.hr
Sažetak Visual data proliferation with technological innovations is progressively moving
forward, bringing automation, digitization, and smartness to various aspects of daily lives …

A Video Visual Security Metric Based on Spatiotemporal Self-Attention

B Tang, F Li, J Liu, C Yang - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
The Visual Security Index (VSI) of encrypted videos measure the security of encryption
algorithms by evaluating the visual information content, which provides a critical evaluation …

CLIP-DQA: Blindly Evaluating Dehazed Images from Global and Local Perspectives Using CLIP

Y Zeng, J Fu, H Amirpour, H Wang, G Yue, H Liu… - arxiv preprint arxiv …, 2025 - arxiv.org
Blind dehazed image quality assessment (BDQA), which aims to accurately predict the
visual quality of dehazed images without any reference information, is essential for the …

Image Dehazing Assessment: A Real-World Dataset and a Haze Density-Aware Criteria

J Chen, G Yang, S Wang, D Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Full-reference image dehazing quality assessment (FR-IDQA) evaluates the visual quality of
a dehazed image by measuring its differences with a clear reference. The existing FR-IDQA …