Image restoration parameters adaptive selection algorithm basing on sparse representation model

2020 ◽  
Author(s):  
CHENYAO BAI
Keyword(s):  
Image Restoration ◽  
Sparse Representation ◽  
Selection Algorithm ◽  
Adaptive Selection ◽  
Representation Model ◽  
Sparse Representation Model

scholarly journals A Hybrid Sparse Representation Model for Image Restoration

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 537
Author(s):  
Caiyue Zhou ◽  
Yanfen Kong ◽  
Chuanyong Zhang ◽  
Lin Sun ◽  
Dongmei Wu ◽  
...  
Keyword(s):  
Image Restoration ◽  
Sparse Representation ◽  
Feature Space ◽  
Training Model ◽  
Subjective Evaluations ◽  
Representation Model ◽  
Image Patches ◽  
The One ◽  
Degraded Images ◽  
Sparse Representation Model

Group-based sparse representation (GSR) uses image nonlocal self-similarity (NSS) prior to grouping similar image patches, and then performs sparse representation. However, the traditional GSR model restores the image by training degraded images, which leads to the inevitable over-fitting of the data in the training model, resulting in poor image restoration results. In this paper, we propose a new hybrid sparse representation model (HSR) for image restoration. The proposed HSR model is improved in two aspects. On the one hand, the proposed HSR model exploits the NSS priors of both degraded images and external image datasets, making the model complementary in feature space and the plane. On the other hand, we introduce a joint sparse representation model to make better use of local sparsity and NSS characteristics of the images. This joint model integrates the patch-based sparse representation (PSR) model and GSR model, while retaining the advantages of the GSR model and the PSR model, so that the sparse representation model is unified. Extensive experimental results show that the proposed hybrid model outperforms several existing image recovery algorithms in both objective and subjective evaluations.

Unknown noise removal via sparse representation model

2019 ◽  
Vol 94 ◽  
pp. 135-143 ◽  
Author(s):  
Junchao Zhang ◽  
Haibo Luo ◽  
Bin Hui ◽  
Zheng Chang ◽  
Xiangyue Zhang
Keyword(s):  
Sparse Representation ◽  
Noise Removal ◽  
Representation Model ◽  
Sparse Representation Model

Bayesian sparse representation model for SAR image classification

2019 ◽  
Vol 13 (04) ◽  
pp. 1
Author(s):  
Kaiyan Dai ◽  
Wentao Lyu ◽  
Shuyun Luo ◽  
Qingjiang Shi
Keyword(s):  
Sparse Representation ◽  
Image Classification ◽  
Sar Image ◽  
Representation Model ◽  
Sparse Representation Model

Identification of Glioma Pseudoprogression Based on Gabor Dictionary and Sparse Representation Model

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Xiaomei Li ◽  
Gongwen Xu ◽  
Qianqian Cao ◽  
Wen Zou ◽  
Ying Xu ◽  
...  
Keyword(s):  
Sparse Representation ◽  
Representation Model ◽  
Gabor Dictionary ◽  
Sparse Representation Model
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