LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "shadow removal" as a keyword



Shadow removal method of soil surface image based on GAN used for estimation of farmland soil moisture content

Sign Up to like & get
recommendations! Published in 2023 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/acd133

Abstract: It is important to obtain soil moisture content (SMC) in farmland, and soil surface images can be used to rapidly estimate SMC. The objective of this study was to propose a shadow removal algorithm to… read more here.

Keywords: method; estimation; shadow removal; shadow ... See more keywords

Channel Attention GAN Trained With Enhanced Dataset for Single-Image Shadow Removal

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3147063

Abstract: Even today, where many deep-learning-based methods have been published, single-image shadow removal is a challenging task to achieve high accuracy. This is because the shadow changes depending on various conditions such as the target material… read more here.

Keywords: single image; shadow removal; image shadow; shadow ... See more keywords

Multistage Progressive Invariant Image-Guided Network for Image Shadow Removal

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3631885

Abstract: Shadow removal is essential for improving image visual quality, as shadows often block important details and cause color distortion. At present, most shadow removal models still have clear limitations in handling this task. On the… read more here.

Keywords: image; shadow removal; shadow; network ... See more keywords

Hyperspectral Shadow Removal via Nonlinear Unmixing

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.2987353

Abstract: Removing shadows that are often present in remotely sensed hyperspectral images is important for both enhancing the interpretability of the data and further target analysis. Shadow removal approaches based on spectral unmixing have been proposed… read more here.

Keywords: unmixing hyperspectral; removal; nonlinear unmixing; shadow removal ... See more keywords

S2Net: Shadow Mask-Based Semantic-Aware Network for Single-Image Shadow Removal

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2022.3188968

Abstract: Existing shadow removal methods often struggle with two problems: color inconsistencies in shadow areas and artifacts along shadow boundaries. To address these two problems, we propose a novel shadow mask-based semantic-aware network (S2Net) that uses… read more here.

Keywords: based semantic; shadow mask; mask based; shadow removal ... See more keywords

Multi-Level Feature Fusion Network for Shadow Removal Detection

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3543526

Abstract: By now, many works have been done on shadow removal for image manipulation. As a result, detecting shadow removal has become a critical part to reveal the traces of image manipulation. However, there are only… read more here.

Keywords: multi level; shadow removal; feature fusion; removal detection ... See more keywords

Depth‐Aware Shadow Removal

Sign Up to like & get
recommendations! Published in 2022 at "Computer Graphics Forum"

DOI: 10.1111/cgf.14691

Abstract: Shadow removal from a single image is an ill‐posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning‐based methods try to directly estimate the mapping… read more here.

Keywords: depth aware; shadow; image; shadow removal ... See more keywords