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Super-resolution reconstruction of face images based on pre-amplification non-negative restricted neighborhood embedding

Yang X., Liu D., Zhou D., Fei S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2018

Vol. 66, nr 6

899--905

The traditional super-resolution (SR) reconstruction algorithm based on neighborhood embedding preserves the local geometric structure of image block manifold to reconstruct high-resolution (HR) manifold. However, when the magnification is large, the low resolution (LR) image is seriously degraded and most of the information is lost after down-sampling. The neighborhood relation of the LR manifold can not reflect the inherent data structure. In order to solve the problem effectively, we propose a face image SR algorithm based on pre-amplification non-negative restricted neighborhood embedding. In the training phase, the LR image is pre-amplified so that there are more similar manifold structures between the HR and LR resolution images. The constraints of the reconstructed coefficients are loosened and the HR image blocks are iteratively updated to obtain the reconstructed weights. The experimental results show that the proposed method has a better reconstruction effect compared with some traditional learning algorithms.

A new approach to robust ﬁnite-time H∞ control of continuous-time Markov jump systems

Yan S., Shen M., Fei S., Zhang G.

Control and Cybernetics

2015

Vol. 44, no. 2

211--231

This paper studies the robust ﬁnite-time H∞ state feedback control problem of continuous-time Markov jump systems (MJSs) subject to norm bounded uncertainties. Transition probabilities are allowed to be known, uncertain with known bounds or unknown. Based on the continuous transition probability property and the developed slack variable technique, Lyapunov variables are separatek from unknown transition probabilities and system matrices. With these separations, a relaxed method for robust ﬁnite-time H∞ controller design is proposed in terms of linear matrix inequalities (LMIs). Numerical examples are given to illustrate the eﬀectiveness of and the beneﬁt from the proposed method.