Spatially adaptive multiscale image restoration using the wavelet transform

1994 ◽  
Author(s):  
Mark R. Banham ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Wavelet Transform ◽  
Image Restoration ◽  
Spatially Adaptive

RL turbulence degraded image restoration algorithm based on wavelet transform

2017 ◽  
Vol 32 (10) ◽  
pp. 822-827
Author(s):  
徐晓睿 XU Xiao-rui ◽  
戴 明 DAI Ming ◽  
尹传历 YIN Chuan-li
Keyword(s):  
Wavelet Transform ◽  
Image Restoration ◽  
Restoration Algorithm ◽  
Degraded Image

An Enhanced NAS-RIF Algorithm for Blind Image Restoration Based on Total Variation Regularization

2013 ◽  
Vol 423-426 ◽  
pp. 2522-2525
Author(s):  
Xin Ke Li ◽  
Chao Gao ◽  
Yong Cai Guo ◽  
Yan Hua Shao
Keyword(s):  
Image Restoration ◽  
Total Variation ◽  
Signal To Noise Ratio ◽  
Random Noise ◽  
Tikhonov Regularization Method ◽  
Total Variation Regularization ◽  
Inverse Filtering ◽  
Blind Image Restoration ◽  
Spatially Adaptive ◽  
Blind Image

In order to improve the quality of blind image restoration, we propose an algorithm which combines Non-negativity and Support constraint Recursive Inverse Filtering (NAS-RIF) and adaptive total variation regularization. In the proposed algorithm, the total variation regularization constraint term is added in the NAS-RIF algorithm cost function. The majorization-minimization approach and conjugate gradient iterative algorithm are adopted to improve the convergence speed. We do the simulation experiments for the blurred classic test image which is added additive random noise. Experimental results show that the restoration effect of our algorithm is better than the spatially adaptive Tikhonov regularization method and the NAS-RIF spatially adaptive regularization algorithm, while the value of improvement of signal to noise ratio (ISNR) has improved.

scholarly journals Filtering and Wavelet Transform Algorithm for Old Document Image Restoration

2017 ◽  
Vol 8 (3) ◽  
pp. 177 ◽  
Author(s):  
Ridha Sefina Samosir
Keyword(s):  
Wavelet Transform ◽  
Data Collection ◽  
Image Restoration ◽  
Research Process ◽  
Document Image ◽  
Computer Based

The aim of this research was to develop image restoration system using filtering and wavelet transform algorithm. Data collection was through observation and system was developed using prototyping model. Result of this research is a computer based on system to restore image containing noise. Based on the research process, filtering and wavelet transform algorithm can used to restore old document image from interferences (noise).

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