Image Restoration with Signal Dependent Noise and Blur
Summary :
A new image restoration filter based upon a physical model of an image degradation is constructed. By means of this filter, signal dependent noise and blur can be suppressed. In particular, image degradation noise can be modeled in generalized form. Noise suppression and deblurring are performed separately. This filter has additional applications when used in conjunction with the degradation model, such as real photographic images and photoelectronic images. Simulation results show that this filter gives a superior performance in restoring an image degraded by signal dependent noise and blur.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.9 pp.1110-1115
- Publication Date
- 1992/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
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Hiroshi KONDO, Yoshinobu MAKINO, Hidetoshi HIRAI, "Image Restoration with Signal Dependent Noise and Blur" in IEICE TRANSACTIONS on Fundamentals,
vol. E75-A, no. 9, pp. 1110-1115, September 1992, doi: .
Abstract: A new image restoration filter based upon a physical model of an image degradation is constructed. By means of this filter, signal dependent noise and blur can be suppressed. In particular, image degradation noise can be modeled in generalized form. Noise suppression and deblurring are performed separately. This filter has additional applications when used in conjunction with the degradation model, such as real photographic images and photoelectronic images. Simulation results show that this filter gives a superior performance in restoring an image degraded by signal dependent noise and blur.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_9_1110/_p
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@ARTICLE{e75-a_9_1110,
author={Hiroshi KONDO, Yoshinobu MAKINO, Hidetoshi HIRAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Image Restoration with Signal Dependent Noise and Blur},
year={1992},
volume={E75-A},
number={9},
pages={1110-1115},
abstract={A new image restoration filter based upon a physical model of an image degradation is constructed. By means of this filter, signal dependent noise and blur can be suppressed. In particular, image degradation noise can be modeled in generalized form. Noise suppression and deblurring are performed separately. This filter has additional applications when used in conjunction with the degradation model, such as real photographic images and photoelectronic images. Simulation results show that this filter gives a superior performance in restoring an image degraded by signal dependent noise and blur.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Image Restoration with Signal Dependent Noise and Blur
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1110
EP - 1115
AU - Hiroshi KONDO
AU - Yoshinobu MAKINO
AU - Hidetoshi HIRAI
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1992
AB - A new image restoration filter based upon a physical model of an image degradation is constructed. By means of this filter, signal dependent noise and blur can be suppressed. In particular, image degradation noise can be modeled in generalized form. Noise suppression and deblurring are performed separately. This filter has additional applications when used in conjunction with the degradation model, such as real photographic images and photoelectronic images. Simulation results show that this filter gives a superior performance in restoring an image degraded by signal dependent noise and blur.
ER -
English
