A comprehensive review on analysis and implementation of recent image dehazing methods

SC Agrawal, AS Jalal - Archives of Computational Methods in Engineering, 2022 - Springer
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

Haze removal for single image: A comprehensive review

F Guo, J Yang, Z Liu, J Tang - Neurocomputing, 2023 - Elsevier
Image dehazing is always a hot topic in the field of computer vision since haze has
significant impact on the imaging quality of camera. Therefore, many image dehazing …

Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement

W Zhang, S Jin, P Zhuang, Z Liang… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Due to the absorption and scattering of light, underwater captured images often face serious
quality degradation issues. In this letter, we propose to cope with the aforementioned issues …

X-net: a dual encoding–decoding method in medical image segmentation

Y Li, Z Wang, L Yin, Z Zhu, G Qi, Y Liu - The Visual Computer, 2023 - Springer
Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …

Image denoising using a compressive sensing approach based on regularization constraints

AE Mahdaoui, A Ouahabi, MS Moulay - Sensors, 2022 - mdpi.com
In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …

Underwater image enhancement method via multi-feature prior fusion

J Zhou, D Zhang, W Zhang - Applied Intelligence, 2022 - Springer
The information in a single underwater image is insufficient due to the complexity of the
underwater environment, which makes it challenging to meet the expectations of marine …

Small object detection method based on adaptive spatial parallel convolution and fast multi-scale fusion

G Qi, Y Zhang, K Wang, N Mazur, Y Liu, D Malaviya - Remote Sensing, 2022 - mdpi.com
As one type of object detection, small object detection has been widely used in daily-life-
related applications with many real-time requirements, such as autopilot and navigation …

Joint image fusion and denoising via three-layer decomposition and sparse representation

X Li, F Zhou, H Tan - Knowledge-Based Systems, 2021 - Elsevier
Image fusion has been received much attentions in recent years. However, solving both
noise-free image fusion and noise-perturbed image fusion problems remains a big …

Single-image dehazing based on two-stream convolutional neural network

J Meng, Y Li, HH Liang, Y Ma - Journal of Artificial Intelligence …, 2022 - ojs.istp-press.com
The haze weather environment leads to the deterioration of the visual effect of the image,
and it is difficult to carry out the work of the advanced vision task. Therefore, dehazing the …

Underwater image enhancement via adaptive group attention-based multiscale cascade transformer

Z Huang, J Li, Z Hua, L Fan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The absorption and scattering caused by the underwater medium degrade the quality of
underwater optical imaging, which limits the further development of underwater tasks …