scholarly journals Space-Variant TV Regularization for Image Restoration

2017 ◽  
pp. 160-169 ◽  
Author(s):  
A. Lanza ◽  
S. Morigi ◽  
M. Pragliola ◽  
F. Sgallari
Keyword(s):  
Image Restoration ◽  
Tv Regularization ◽  
Space Variant

scholarly journals HST Image Restoration: Current Capabilities and Future Prospects

1994 ◽  
Vol 158 ◽  
pp. 61-69 ◽  
Author(s):  
Robert J. Hanisch ◽  
Richard L. White
Keyword(s):  
Image Restoration ◽  
Dynamic Range ◽  
Hubble Space Telescope ◽  
Spherical Aberration ◽  
Wide Field ◽  
Secondary Mirror ◽  
Faint Object ◽  
Spread Function ◽  
Restoration Algorithms ◽  
Space Variant

The spherical aberration in the primary mirror of the Hubble Space Telescope causes more than 80% of the light from a point source to be spread into a halo of radius of 2–3 arcsec. The point spread function (PSF) is both time variant (resulting from spacecraft jitter and desorption of the secondary mirror support structure) and space variant (owing to the Cassegrain repeater optics in the Wide Field / Planetary Camera). A variety of image restoration algorithms have been utilized on HST data with some success, although optimal restorations require better modeling of the PSF and the development of efficient restoration algorithms that accommodate a spacevariant PSF. The first HST servicing mission (December 1993) will deploy a corrective optics system for the Faint Object Camera and the two spectrographs and a second generation WF/PC with internal corrective optics. As simulations demonstrate, however, the restoration algorithms developed now for aberrated images will be very useful for removing the remaining diffraction features and optimizing dynamic range in post-servicing mission data.

scholarly journals A Flexible Space-Variant Anisotropic Regularization for Image Restoration with Automated Parameter Selection

2019 ◽  
Vol 12 (2) ◽  
pp. 1001-1037 ◽  
Author(s):  
Luca Calatroni ◽  
Alessandro Lanza ◽  
Monica Pragliola ◽  
Fiorella Sgallari
Keyword(s):  
Image Restoration ◽  
Parameter Selection ◽  
Space Variant ◽  
Anisotropic Regularization

scholarly journals Solving Adaptive Image Restoration Problems via a Modified Projection Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Hao Yang ◽  
Xueping Luo ◽  
Leiting Chen
Keyword(s):  
Variational Inequality ◽  
Variational Inequalities ◽  
Image Restoration ◽  
Image Denoising ◽  
Existence And Uniqueness ◽  
Experimental Results ◽  
Projection Algorithm ◽  
Tv Regularization ◽  
Uniqueness Of The Solution ◽  
Quasi Variational Inequality

We introduce a new general TV regularizer, namely, generalized TV regularization, to study image denoising and nonblind image deblurring problems. In order to discuss the generalized TV image restoration with solution-driven adaptivity, we consider the existence and uniqueness of the solution for mixed quasi-variational inequality. Moreover, the convergence of a modified projection algorithm for solving mixed quasi-variational inequalities is also shown. The corresponding experimental results support our theoretical findings.

scholarly journals Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids

2008 ◽  
Vol 17 (1) ◽  
pp. 27-41 ◽  
Author(s):  
Jose A. Guerrero-Colon ◽  
Luis Mancera ◽  
Javier Portilla
Keyword(s):  
Image Restoration ◽  
Scale Mixtures ◽  
Space Variant ◽  
Gaussian Scale Mixtures
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