Intrinsic Image Sequence Decomposition Using Low-Rank Sparse Model

Intrinsic Image Sequence Decomposition Using Low-Rank Sparse Model

Intrinsic image decomposition from a single image or image sequences is always a challenging task in computer vision and image processing due to the ill-posed characteristics. In order to attain a reasonable estimation of intrinsic images, in this paper, we present a low-rank sparse model (LRSM) to...

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Bibliographic Details
Main Authors: Wenyong Gong, Weihong Xu, Leqin Wu, Xiaohua Xie, Zhanglin Cheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Intrinsic image decomposition
image sequence
low-rank sparse constraints
ADMM
Online Access:https://ieeexplore.ieee.org/document/8588292/

Internet

https://ieeexplore.ieee.org/document/8588292/

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