Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets

Convolution sparse coding (CSC) has attracted much attention recently due to its advantages in image reconstruction and enhancement. However, the coding process suffers from perturbations caused by variations of input samples, as the consistence of features from similar input samples are not well ad...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing Jg. 11; H. 7; S. 1072 - 1081
Hauptverfasser:	Yang, Linlin, Li, Ce, Han, Jungong, Chen, Chen, Ye, Qixiang, Zhang, Baochang, Cao, Xianbin, Liu, Wanquan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Constraints Convolution Convolutional codes Convolutional sparse coding Data structures Feature extraction Image coding image deblurring Image enhancement Image reconstruction Image restoration light field Light fields manifold constrained convolutional sparse coding Manifolds Robustness (mathematics) State of the art
ISSN:	1932-4553, 1941-0484
Online-Zugang:	Volltext
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