Journal of Nanjing University(Natural Sciences)

Image super⁃resolution algorithm joint deep belief network and neighborhood regression

Weiqin Huang, Fengqiang Gao, Junren Chen, Chan Li

Journal of Nanjing University(Natural Sciences), 2019, 55(4): 581-591. DOI: 10.13232/j.cnki.jnju.2019.04.008

无参考指标	平均梯度	信息熵	Brenner函数	能量函数
原始图	2.9443	6.6701	4261738	3379712
DBNNR	3.6527	6.7088	6087568	5284806

Table 3 The average of no reference indices between original medical images and reconstructed images

Other figure/table from this article

Fig.1 The model of RBM
Fig.2 The model of DBN with three RBM layers
Fig.3 The relationship between dictionary learning and neural network representation
Fig.4 Processing of sample feature images
Fig.5 The dictionary learning model based on DBN
Fig.6 The flow chart of algorithm
Fig.7 The relationship between the neighborhood size and reconstruction quality
Table 1 PSNR and SSIM values corresponding to reconstructed images of different SR algorithms
Fig.8 Test images for subjective evaluation
Fig.9 Comparison of the reconstructed image detail with difference SR algorithm for Head
Table 2 Average reconstruction time(unit：s) of Set5 and Set14 for different SR algorithms
Fig.10 Comparison of the reconstructed image detail with difference SR algorithm for Zebra
Fig.11 Sample images for dictionary learning
Fig.12 Comparison of the original image and
Fig.13 Comparison of the original image and