TY - GEN
T1 - Physics Based Image Deshadowing Using Local Linear Model
AU - Einy, Tamir
AU - Immer, Efrat
AU - Vered, Gilad
AU - Avidan, Shai
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Image deshadowing algorithms remove shadows from images. This requires both detecting where the shadow is and, once detected, removing it from the image. This work focuses on the shadow removal part. We follow a common physical shadow formation model and learn its parameters using a deep neural network. Our model consists of an existing network for shadow detection, and a novel network for shadow removal. The shadow removal network gets the predicted mask of the shadow region and the shadow image and predicts six parameters per pixel. Remarkably, a straightforward network architecture, that is considerably smaller compared to alternative methods, produces better results on standard datasets1.
AB - Image deshadowing algorithms remove shadows from images. This requires both detecting where the shadow is and, once detected, removing it from the image. This work focuses on the shadow removal part. We follow a common physical shadow formation model and learn its parameters using a deep neural network. Our model consists of an existing network for shadow detection, and a novel network for shadow removal. The shadow removal network gets the predicted mask of the shadow region and the shadow image and predicts six parameters per pixel. Remarkably, a straightforward network architecture, that is considerably smaller compared to alternative methods, produces better results on standard datasets1.
UR - http://www.scopus.com/inward/record.url?scp=85137751353&partnerID=8YFLogxK
U2 - 10.1109/CVPRW56347.2022.00340
DO - 10.1109/CVPRW56347.2022.00340
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85137751353
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 3011
EP - 3019
BT - Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022
PB - IEEE Computer Society
T2 - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022
Y2 - 19 June 2022 through 20 June 2022
ER -