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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Vydané v:	IEEE journal of selected topics in signal processing Ročník 11; číslo 7; s. 1072 - 1081
Hlavní autori:	Yang, Linlin, Li, Ce, Han, Jungong, Chen, Chen, Ye, Qixiang, Zhang, Baochang, Cao, Xianbin, Liu, Wanquan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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