IEICE TRANSACTIONS on Information
A Spatially Adaptive Gradient-Projection Image Restoration
Summary :
In this letter, we propose a spatially adaptive image restoration algorithm, using local statistics. The local variance, mean and maximum value are utilized to constrain the solution space. These parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared with the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.5 pp.910-913
- Publication Date
- 2002/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
Authors
Keyword
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Min-Cheol HONG, Hyung Tae CHA, Hern-Soo HAHN, "A Spatially Adaptive Gradient-Projection Image Restoration" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 5, pp. 910-913, May 2002, doi: .
Abstract: In this letter, we propose a spatially adaptive image restoration algorithm, using local statistics. The local variance, mean and maximum value are utilized to constrain the solution space. These parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared with the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_5_910/_p
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@ARTICLE{e85-d_5_910,
author={Min-Cheol HONG, Hyung Tae CHA, Hern-Soo HAHN, },
journal={IEICE TRANSACTIONS on Information},
title={A Spatially Adaptive Gradient-Projection Image Restoration},
year={2002},
volume={E85-D},
number={5},
pages={910-913},
abstract={In this letter, we propose a spatially adaptive image restoration algorithm, using local statistics. The local variance, mean and maximum value are utilized to constrain the solution space. These parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared with the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - A Spatially Adaptive Gradient-Projection Image Restoration
T2 - IEICE TRANSACTIONS on Information
SP - 910
EP - 913
AU - Min-Cheol HONG
AU - Hyung Tae CHA
AU - Hern-Soo HAHN
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2002
AB - In this letter, we propose a spatially adaptive image restoration algorithm, using local statistics. The local variance, mean and maximum value are utilized to constrain the solution space. These parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared with the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.
ER -
English
