Specific timestamp image recovery algorithm research based on SVG incremental storage

2011 ◽  
Author(s):  
Qingfeng Du ◽  
Fei Xue
Keyword(s):  
Image Recovery ◽  
Recovery Algorithm

Step Size For The General Iterative Image Recovery Algorithm

1988 ◽  
Vol 27 (9) ◽  
Author(s):  
C. I. Podilchuk ◽  
R. J. Mammone
Keyword(s):  
Image Recovery ◽  
Step Size ◽  
Recovery Algorithm

LoRaWAN-based Camera with (CIRA) Compression and Image Recovery Algorithm

2021 ◽  
Author(s):  
John Y.Q. Zhang ◽  
Ben L. Yeung ◽  
Joe C.Y. Wong ◽  
Ray C.C. Cheung ◽  
Alan H.F. Lam
Keyword(s):  
Image Recovery ◽  
Recovery Algorithm

scholarly journals Image Recovery Algorithm Based on Learned Dictionary

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Xinghui Zhu ◽  
Fang Kui
Keyword(s):  
State Of The Art ◽  
Image Recovery ◽  
Natural Image ◽  
Practical Applications ◽  
Recovery Algorithm ◽  
Current State ◽  
Image Patches ◽  
Learned Dictionary ◽  
Recovery Scheme ◽  
Blind Image

We proposed a recovery scheme for image deblurring. The scheme is under the framework of sparse representation and it has three main contributions. Firstly, considering the sparse property of natural image, the nonlocal overcompleted dictionaries are learned for image patches in our scheme. And, then, we coded the patches in each nonlocal clustering with the corresponding learned dictionary to recover the whole latent image. In addition, for some practical applications, we also proposed a method to evaluate the blur kernel to make the algorithm usable in blind image recovery. The experimental results demonstrated that the proposed scheme is competitive with some current state-of-the-art methods.

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