A Motion Compensated Filter for Channel Equalization and Video Restoration
Summary :
An important area in visual communications is the restoration of image sequences degraded by channel and noise. Since a nonlinearity is commonly involved in image transmitting procedure, an adaptive nonlinear equalizer is required. In this paper we address this problem by proposing a 3D adaptive nonlinear filter, namely the 3D adaptive Volterra filter with an LMS type of adaptation algorithm. This adaptive filter is used for equalizing an unknown 2-D channel with some point-wise nonlinearity and restoring image sequences degraded by this channel. Prior to filtering, motion is estimated from the sequence and compensated for. For this purpose, a robust region-recursive Higher Order Statistics (HOS) based motion estimation method is employed. The overall combination is able to adequately remove undesired effects of communication channel and noise. The performance of this algorithm is examined using real image sequences demonstrated by experimental results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E86-D No.6 pp.1144-1148
- Publication Date
- 2003/06/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
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Mohammed ELHASSOUNI, El Hassane IBNELAHJ, Driss ABOUTAJDINE, "A Motion Compensated Filter for Channel Equalization and Video Restoration" in IEICE TRANSACTIONS on Information,
vol. E86-D, no. 6, pp. 1144-1148, June 2003, doi: .
Abstract: An important area in visual communications is the restoration of image sequences degraded by channel and noise. Since a nonlinearity is commonly involved in image transmitting procedure, an adaptive nonlinear equalizer is required. In this paper we address this problem by proposing a 3D adaptive nonlinear filter, namely the 3D adaptive Volterra filter with an LMS type of adaptation algorithm. This adaptive filter is used for equalizing an unknown 2-D channel with some point-wise nonlinearity and restoring image sequences degraded by this channel. Prior to filtering, motion is estimated from the sequence and compensated for. For this purpose, a robust region-recursive Higher Order Statistics (HOS) based motion estimation method is employed. The overall combination is able to adequately remove undesired effects of communication channel and noise. The performance of this algorithm is examined using real image sequences demonstrated by experimental results.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_6_1144/_p
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@ARTICLE{e86-d_6_1144,
author={Mohammed ELHASSOUNI, El Hassane IBNELAHJ, Driss ABOUTAJDINE, },
journal={IEICE TRANSACTIONS on Information},
title={A Motion Compensated Filter for Channel Equalization and Video Restoration},
year={2003},
volume={E86-D},
number={6},
pages={1144-1148},
abstract={An important area in visual communications is the restoration of image sequences degraded by channel and noise. Since a nonlinearity is commonly involved in image transmitting procedure, an adaptive nonlinear equalizer is required. In this paper we address this problem by proposing a 3D adaptive nonlinear filter, namely the 3D adaptive Volterra filter with an LMS type of adaptation algorithm. This adaptive filter is used for equalizing an unknown 2-D channel with some point-wise nonlinearity and restoring image sequences degraded by this channel. Prior to filtering, motion is estimated from the sequence and compensated for. For this purpose, a robust region-recursive Higher Order Statistics (HOS) based motion estimation method is employed. The overall combination is able to adequately remove undesired effects of communication channel and noise. The performance of this algorithm is examined using real image sequences demonstrated by experimental results.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - A Motion Compensated Filter for Channel Equalization and Video Restoration
T2 - IEICE TRANSACTIONS on Information
SP - 1144
EP - 1148
AU - Mohammed ELHASSOUNI
AU - El Hassane IBNELAHJ
AU - Driss ABOUTAJDINE
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2003
AB - An important area in visual communications is the restoration of image sequences degraded by channel and noise. Since a nonlinearity is commonly involved in image transmitting procedure, an adaptive nonlinear equalizer is required. In this paper we address this problem by proposing a 3D adaptive nonlinear filter, namely the 3D adaptive Volterra filter with an LMS type of adaptation algorithm. This adaptive filter is used for equalizing an unknown 2-D channel with some point-wise nonlinearity and restoring image sequences degraded by this channel. Prior to filtering, motion is estimated from the sequence and compensated for. For this purpose, a robust region-recursive Higher Order Statistics (HOS) based motion estimation method is employed. The overall combination is able to adequately remove undesired effects of communication channel and noise. The performance of this algorithm is examined using real image sequences demonstrated by experimental results.
ER -
English
