Results 61 to 70 of about 11,754,470 (203)
A Variational Framework for Single Image Dehazing [PDF]
, 2015 Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image struc- ture under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and ...
Adrian Galdran +3 more
openaire +2 more sources
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source
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
Automating a Dehazing System by Self-Calibrating on Haze Conditions
Sensors, 2021 Existing image dehazing algorithms typically rely on a two-stage procedure. The medium transmittance and lightness are estimated in the first stage, and the scene radiance is recovered in the second by applying the simplified Koschmieder model.
Dat Ngo +3 more
doaj +1 more source
Nighttime Image Dehazing Based on Point Light Sources
Applied Sciences, 2022 Images routinely suffer from quality degradation in fog, mist, and other harsh weather conditions. Consequently, image dehazing is an essential and inevitable pre-processing step in computer vision tasks.
Xin-Wei Yao +4 more
doaj +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The images captured during haze, murkiness and raw weather has serious degradation in them. Image dehazing of a single image is a problematic affair. While already-in-use systems depend on high-quality images, some Computer Vision applications, such self-driving cars and image restoration, typically use input from data that is of poor quality.
openaire +1 more source
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
Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion
, 2016 Polarimetric dehazing methods have proven effective in enhancing the quality of chromatic hazy images. Considering that the infrared radiance has a better capacity for traveling through the haze, in this paper we propose a polarimetric dehazing method ...
Zhang, Wenfei +5 more
core +1 more source
MixDehazeNet : Mix Structure Block For Image Dehazing Network [PDF]
, 2023 Image dehazing is a typical task in the low-level vision field. Previous studies verified the effectiveness of the large convolutional kernel and attention mechanism in dehazing.
Xu, BingRong +3 more
core +1 more source
RABNet: A Residual Attention‐Based Network for Visibility Restoration in Hazy Images
IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.Image dehazing enhances visibility and image quality, enabling better decision‐making in critical applications such as surveillance, remote sensing, and autonomous driving. However, single‐image dehazing remains challenging due to the need for smoothness in homogeneous regions, accurate edge preservation, texture fidelity, and artifact‐free ...
Syeda Rabail Zahra +8 more
wiley +1 more source