IEICE TRANSACTIONS on Information
Region-Adaptive Image Restoration Using Wavelet Denoising Technique
Summary :
Space-variant approaches subject to local image characteristics are useful in practical image restoration because many natural images are nonstationary. Motivated by the success of denoising approaches in the wavelet domain, we propose a region-adaptive restoration approach which adopts a wavelet denoising technique in flat regions after an under-regularized constrained least squares restoration. Experimental results verify that this approach not only improves image quality in mean square error but also contributes to ringing reduction.
- Publication
- IEICE TRANSACTIONS on Information Vol.E85-D No.1 pp.286-290
- Publication Date
- 2002/01/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
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Jianyin LU, Yasuo YOSHIDA, "Region-Adaptive Image Restoration Using Wavelet Denoising Technique" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 1, pp. 286-290, January 2002, doi: .
Abstract: Space-variant approaches subject to local image characteristics are useful in practical image restoration because many natural images are nonstationary. Motivated by the success of denoising approaches in the wavelet domain, we propose a region-adaptive restoration approach which adopts a wavelet denoising technique in flat regions after an under-regularized constrained least squares restoration. Experimental results verify that this approach not only improves image quality in mean square error but also contributes to ringing reduction.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_286/_p
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@ARTICLE{e85-d_1_286,
author={Jianyin LU, Yasuo YOSHIDA, },
journal={IEICE TRANSACTIONS on Information},
title={Region-Adaptive Image Restoration Using Wavelet Denoising Technique},
year={2002},
volume={E85-D},
number={1},
pages={286-290},
abstract={Space-variant approaches subject to local image characteristics are useful in practical image restoration because many natural images are nonstationary. Motivated by the success of denoising approaches in the wavelet domain, we propose a region-adaptive restoration approach which adopts a wavelet denoising technique in flat regions after an under-regularized constrained least squares restoration. Experimental results verify that this approach not only improves image quality in mean square error but also contributes to ringing reduction.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Region-Adaptive Image Restoration Using Wavelet Denoising Technique
T2 - IEICE TRANSACTIONS on Information
SP - 286
EP - 290
AU - Jianyin LU
AU - Yasuo YOSHIDA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - Space-variant approaches subject to local image characteristics are useful in practical image restoration because many natural images are nonstationary. Motivated by the success of denoising approaches in the wavelet domain, we propose a region-adaptive restoration approach which adopts a wavelet denoising technique in flat regions after an under-regularized constrained least squares restoration. Experimental results verify that this approach not only improves image quality in mean square error but also contributes to ringing reduction.
ER -
English
