High Dynamic Range Imaging Based on Bidirectional Structural Similarities and Weighted Low-Rank Matrix Completion
High dynamic range (HDR) imaging, aiming to increase the dynamic range of an image by merging multiexposure images, has attracted much attention. Ghosts are often observed in a resultant image, due to camera motion and object motion in the scene. Low-rank matrix completion (LRMC) provides an effecti...
Saved in:
| Main Authors: | Mali Yu, Hai Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2019/8459896 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Temperature Field Data Reconstruction Using the Sparse Low-Rank Matrix Completion Method
by: Shan Wang, et al.
Published: (2019-01-01) -
A Class of Weighted Low Rank Approximation of the Positive Semidefinite Hankel Matrix
by: Jianchao Bai, et al.
Published: (2015-01-01) -
Application of weighted low rank approximations: outlier detection in a data matrix
by: Marisol García-Peña, et al.
Published: (2025-05-01) -
Temporal Denoising of Infrared Images via Total Variation and Low-Rank Bidirectional Twisted Tensor Decomposition
by: Zhihao Liu, et al.
Published: (2025-04-01) -
Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering
by: Hu Ma, et al.
Published: (2024-11-01)