Results 251 to 260 of about 153,211 (306)

Degradation Type-Aware Image Restoration for Effective Object Detection in Adverse Weather. [PDF]

Sensors (Basel)
Huang X, Wang X, Teng Q, He X, Chen H.
europepmc   +1 more source

Two-stage mural image restoration using an edge-constrained attention mechanism. [PDF]

PLoS One
Cao J, Wang X, Wang F, Cao Z, Liu J, Yang Z.   +5 more
europepmc   +1 more source

Constrained Plug-and-Play Priors for Image Restoration. [PDF]

J Imaging
Benfenati A, Cascarano P.
europepmc   +1 more source

Self-supervised image restoration in coherent X-ray neuronal microscopy

Laugros A, Cloetens P, Bosch C, Schoonhoven R, Pavlovic L, Kuan AT, Livingstone J, Zhang Y, Kim M, Hendriksen A, Holler M, Wanner AA, Azevedo A, Batenburg KJ, Tuthill JC, Lee WA, Schaefer AT, Vigano N, Pacureanu A.   +18 more
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Digital image restoration

IEEE Signal Processing Magazine, 1997
Mark R. Banham, Aggelos K. Katsaggelos
exaly   +2 more sources

Nonlocally Centralized Sparse Representation for Image Restoration [PDF]

IEEE Transactions on Image Processing, 2013
Sparse representation models code an image patch as a linear combination of a few atoms chosen out from an over-complete dictionary, and they have shown promising results in various image restoration applications.
Weisheng Dong, Guangming Shi
exaly   +2 more sources

Restoration of longitudinal Images

Annual Meeting Optical Society of America, 1987
A method of restoring longitudinal details in ordinary images is presented. By using a transfer theory for longitudinal objects and inverse filtering, the longitudinal image may be restored. The usual Fourier theory and sampling theorems for transverse images cannot be used directly in the longitudinal case.
Y, Hu, B R, Frieden
openaire   +2 more sources

Iterative Image Restoration

Applied Optics, 1975
The projection method of solving a set of linear equations was used to restore linearly degraded images. The advantages of this method are that it always converges, it can readily make use of a priori information about the image, and it does not need excessive computation time.
T S, Huang, D A, Barker, S P, Berger
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Turbo image restoration

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process.
Hong Sun, Henri Maître, Bao Guan
openaire   +1 more source