Results 51 to 60 of about 691 (187)
Image Dehaze Algorithm Based on Improved Atmospheric Scattering Models
IEEE AccessDue to the influence of rainy and foggy weather, obtaining clear images becomes more challenging, often resulting in low visibility, poor contrast, and missing detail information.
Wenqiang Yan, Lei Cui
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Frequency-Based Haze and Rain Removal Network (FHRR-Net) with Deep Convolutional Encoder-Decoder
Applied Sciences, 2021 Removing haze or rain is one of the difficult problems in computer vision applications. On real-world road images, haze and rain often occur together, but traditional methods cannot solve this imaging problem.
Dong Hwan Kim +4 more
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Large‐scale characterization of horizontal forest structure from remote sensing optical images
Remote Sensing in Ecology and Conservation, EarlyView.Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu +12 more
wiley +1 more source
Vehicle license plate recognition for fog‐haze environments
IET Image Processing, 2021 The technique of vehicle license plate recognition can recognize and count the vehicles automatically, and thus many applications regarding the vehicles are greatly facilitated.
Xianli Jin +3 more
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Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
, 2019 Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (HrMS) and low-resolution hyperspectral (LrHS) images can generally be ...
Meng, Deyu +5 more
core +1 more source
Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source
A novel multiscale cGAN approach for enhanced salient object detection in single haze images
EURASIP Journal on Image and Video ProcessingIn computer vision, image dehazing is a low-level task that employs algorithms to analyze and remove haze from images, resulting in haze-free visuals.
Gayathri Dhara, Ravi Kant Kumar
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Sea Ice Floe Segmentation in Close‐Range Optical Imagery Using Active Contour and Foundation Models
Earth and Space Science, Volume 13, Issue 2, February 2026.Abstract The size of sea ice floes in the marginal ice zone (MIZ) is a key factor influencing ice coverage, albedo, wave propagation, and ocean–atmosphere energy exchanges. Floe size can be observed by processing visual‐range imagery from ships, aircraft, or satellites.
Giulio Passerotti +5 more
wiley +1 more source
Let Segment Anything Help Image Dehaze
, 2023 The large language model and high-level vision model have achieved impressive performance improvements with large datasets and model sizes. However, low-level computer vision tasks, such as image dehaze and blur removal, still rely on a small number of ...
Chen, Shiqi +4 more
core
Artificial Compound Eye for Clear Vision in Harsh Environment
Advanced Functional Materials, Volume 36, Issue 4, 12 January 2026.Artificial compound eye (CE) with exceptional imaging and motion tracking capturing the movement of a spider and swinging thread with a wide field of view. Surface modifications ensure clear vision of alphabetic letters in rain and fog. Images captured in fog with CE remains visible 3 times longer than simple eyes (SE).
Kehinde Kassim +6 more
wiley +1 more source