Results 81 to 90 of about 5,362 (169)
Expert Systems, Volume 42, Issue 9, September 2025.ABSTRACT Finding the correct match to a probe image from a vast amount of data is critical for the online retrieval of apparel images. These images are captured under an uncontrolled environment (e.g., viewpoint and illumination changes); therefore, such type of data is extremely challenging in Content‐Based Image Retrieval (CBIR) research.
Marryam Murtaza +5 more
wiley +1 more source
RLaMs-Dehazing: Optimized Depth Map Improvement Single Colour Image Dehazing
Scientific Visualization, 2023 Visibility Degradation is a classical problem owing to the presence of Atmospheric Particulate Matter (APM). There are different image dehazing algorithms. Any one method cannot be relied upon as each haze condition is unique. An innovative algorithm has been proposed inverting the image formation atmospheric scattering model [2, 32].
openaire +1 more source
Earth and Space Science, Volume 12, Issue 8, August 2025.Abstract Remote sensing imagery has become an indispensable tool for cost‐effectively capturing extensive geospatial data across diverse applications. However, this technology remains fundamentally susceptible to noise contamination. Salt and pepper noise is one of the common issues that can significantly impair image quality and hinder subsequent ...
R. T. Cai +6 more
wiley +1 more source
UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning
, 2022 14 pages, 9 figures, 9 ...
Wang, Yongzhen +6 more
openaire +2 more sources
WaveLiteDehaze‐Network: A Low‐Parameter Wavelet‐Based Method for Real‐Time Dehazing
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1033-1048, August 2025.ABSTRACT Although the image dehazing problem has received considerable attention over recent years, the existing models often prioritise performance at the expense of complexity, making them unsuitable for real‐world applications, which require algorithms to be deployed on resource constrained‐devices.
Ali Murtaza +5 more
wiley +1 more source
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework
, 2017 Deep learning models have gained great success in many real-world applications. However, most existing networks are typically designed in heuristic manners, thus lack of rigorous mathematical principles and derivations.
Cheng, Shichao +4 more
core +1 more source
End-to-End United Video Dehazing and Detection
, 2017 The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been explored yet.
Feng, Dan +4 more
core +1 more source
Scientific ReportsArtificially extracted agricultural phenotype information exhibits high subjectivity and low accuracy, while the utilization of image extraction information is susceptible to interference from haze.
Jin-Ting Ding +3 more
doaj +1 more source
Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy
IEEE AccessWe proposed a novel image-enhancing framework to ensure consolidated restoration accuracy when remedying the visual quality of dehazed images, such as over-saturation, color deviation, or luminance issues. Conventionally, the dehazing process was usually
Ping-Juei Liu
doaj +1 more source
WTCL-DEHAZE: RETHINKING REAL-WORLD IMAGE DEHAZING VIA WAVELET TRANSFORM AND CONTRASTIVE LEARNING
International Journal on Cybernetics & InformaticsImages captured in hazy outdoor conditions often suffer from colour distortion, low contrast, and loss of detail, which impair high-level vision tasks. Single image dehazing is essential for applications such as autonomous driving and surveillance, with the aim of restoring image clarity. In this work, we propose WTCL-Dehaze an enhanced semi-supervised
Appiah, Divine Joseph +3 more
openaire +2 more sources