Results 41 to 50 of about 3,318 (186)
Delving Deeper Into Image Dehazing: A Survey
IEEE Access, 2023 Images captured under foggy or hazy weather conditions are affected by the scattering of atmospheric particles, resulting in decreased contrast and color variation, thereby limiting their practical applications.
Guohou Li +6 more
doaj +1 more source
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
, 2018 This work addresses the problem of semantic scene understanding under dense fog. Although considerable progress has been made in semantic scene understanding, it is mainly related to clear-weather scenes.
A Bar Hillel +20 more
core +1 more source
Image dehazing using two‐dimensional canonical correlation analysis
IET Computer Vision, 2015 Image dehazing is an important issue that interests both image processing and computer vision. In this study, image dehazing is modelled as an example‐based learning problem, and a novel dehazing algorithm using two‐dimensional (2D) canonical correlation
Liqian Wang, Liang Xiao, Zhihui Wei
doaj +1 more source
, 2018 Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributions in natural images and leverage
Barnard Kobus +6 more
core +1 more source
Learned Perceptual Image Enhancement
, 2017 Learning a typical image enhancement pipeline involves minimization of a loss function between enhanced and reference images. While L1 and L2 losses are perhaps the most widely used functions for this purpose, they do not necessarily lead to perceptually
Milanfar, Peyman, Talebi, Hossein
core +1 more source
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
A multimodal feature fusion image dehazing method with scene depth prior
IET Image Processing, 2023 Current dehazing networks usually only learn haze features in a single‐image colour space and often suffer from uneven dehazing, colour, and edge degradation when confronted with different scales of ground objects in the depth space of the scene.
Zhang Zhengpeng +4 more
doaj +1 more source
A Color Image Database for Haze Model and Dehazing Methods Evaluation
, 2016 International audienceOne of the major issues related to dehazing methods (single or multiple image based) evaluation is the absence of the haze-free image (ground-truth). This is also a problem when it concerns the validation of Koschmieder model or its
EL KHOURY, Jessica +2 more
core +3 more sources
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
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