Results 11 to 20 of about 19,173 (259)
A differential correction based shadow removal method for real-time monitoring. [PDF]
PLoS ONE, 2023 Shadow removal is an important issue in the field of motion object surveillance and automatic control. Although many works are concentrated on this issue, the diverse and similar motion patterns between shadows and objects still severely affect the ...
Sheng Liu +4 more
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AP Shadow Net: A Remote Sensing Shadow Removal Network Based on Atmospheric Transport and Poisson’s Equation [PDF]
Entropy, 2022 Shadow is one of the fundamental indicators of remote sensing image which could cause loss or interference of the target data. As a result, the detection and removal of shadow has already been the hotspot of current study because of the complicated ...
Fan Li, Zhiyi Wang, Guoliang He
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Synthetic Document Images with Diverse Shadows for Deep Shadow Removal Networks [PDF]
SensorsShadow removal for document images is an essential task for digitized document applications. Recent shadow removal models have been trained on pairs of shadow images and shadow-free images.
Yuhi Matsuo, Yoshimitsu Aoki
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Moving shadow detection and removal – a wavelet transform based approach
IET Computer Vision, 2014 Shadow detection and removal is an important problem in computer vision. The real challenge in moving shadow detection and removal is to classify moving shadow points which are many times misclassified as moving object points in a video sequences ...
Manish Khare +2 more
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From Shadow Generation to Shadow Removal [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Accepted by ...
Zhihao Liu +5 more
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Shadow-Aware Dynamic Convolution for Shadow Removal
Pattern Recognition, 2023 With a wide range of shadows in many collected images, shadow removal has aroused increasing attention since uncontaminated images are of vital importance for many downstream multimedia tasks. Current methods consider the same convolution operations for both shadow and non-shadow regions while ignoring the large gap between the color mappings for the ...
Yimin Xu +6 more
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Attentive Generative Adversarial Network with Dual Encoder-Decoder for Shadow Removal
Information, 2022 Shadow removal is a fundamental task that aims at restoring dark areas in an image where the light source is blocked by an opaque object, to improve the visibility of shadowed areas.
He Wang, Hua Zou, Dengyi Zhang
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From Shadow Segmentation to Shadow Removal [PDF]
, 2020 Accepted at ECCV 2020. All code, trained models, and data are available (soon) at: https://www3.cs.stonybrook.
Hieu Le 0001, Dimitris Samaras
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Shadow Removal by High-Quality Shadow Synthesis
CoRR, 2022 Most shadow removal methods rely on the invasion of training images associated with laborious and lavish shadow region annotations, leading to the increasing popularity of shadow image synthesis. However, the poor performance also stems from these synthesized images since they are often shadow-inauthentic and details-impaired. In this paper, we present
Yunshan Zhong +5 more
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On the removal of shadows from images [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006 This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about lights and cameras leads to a 1D, gray-scale image representation which is illuminant invariant at each image pixel. We show that as a consequence, images represented in this form are shadow-free.
Finlayson, G. D. +3 more
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