scholarly journals Digital image restoration for phase-coded imaging systems

2010 ◽  
Author(s):  
Chen-Yu Tseng ◽  
Sheng-Jyh Wang ◽  
Chir-Weei Chang ◽  
Po-Chang Chen ◽  
Chuan-Chung Chang ◽  
...  
Keyword(s):  
Image Restoration ◽  
Digital Image ◽  
Imaging Systems

A Comparative Study of Image Deblurring Techniques

2020 ◽  
Vol 17 (9) ◽  
pp. 4571-4579
Author(s):  
Rajbir Singh ◽  
Sumit Bansal
Keyword(s):  
Comparative Study ◽  
Image Restoration ◽  
Digital Image ◽  
Minimum Mean Square Error ◽  
Direct Methods ◽  
Structural Similarity ◽  
Single Step ◽  
Noise Model ◽  
Image Deconvolution ◽  
Indirect Methods

The method of recovering a true image from degraded one, to analyze that digital image and characteristics with no artifact errors is known as Image Restoration. These techniques are of two types: direct methods and indirect methods. Direct methods are those in which the results of image restoration are produced in one single step. Indirect methods are those in which the results of image restoration are produced after various steps. This method is termed as blind image deconvolution, when the known info is just the blurred digital image and no info about the (Point Spread Function) (PSF) or the degrading model. The target of the procedure is to recover both the latent (un-blurred) image and the blur kernel, simultaneously. In this paper, we presented a comprehensive research of image noise model,de-blurring methods, blur types, and a comparative study of various deblurring methods. We have implemented number experiments to study these methods according to their performance, (Peak Signal to Noise Ratio) PSNR, (structural similarity) SSIM, blur type, and (Minimum Mean Square Error) MMSE.

Constrained deconvolution of SPECT liver tomograms by direct digital image restoration

1985 ◽  
Vol 12 (1) ◽  
pp. 53-58 ◽  
Author(s):  
S. Webb ◽  
A. P. Long ◽  
R. J. Ott ◽  
M. O. Leach ◽  
M. A. Flower
Keyword(s):  
Image Restoration ◽  
Digital Image
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