A 2-D Adaptive Joint-Process Lattice Estimator for Image Restoration

Takayuki NAKACHI; Katsumi YAMASHITA; Nozomu HAMADA

A 2-D Adaptive Joint-Process Lattice Estimator for Image Restoration

Takayuki NAKACHI, Katsumi YAMASHITA, Nozomu HAMADA

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The present paper examines a two-dimensional (2-D) joint-process lattice estimator and its implementation for image restoration. The gradient adaptive lattice (GAL) algorithm is used to update the filter coefficients. The proposed adaptive lattice estimator can represent a wider class of 2-D FIR systems than the conventional 2-D lattice models. Furthermore, its structure possesses orthogonality between the backward prediction errors. These results in superior convergence and tracking properties versus the transversal and other 2-D adaptive lattice estimators. The validity of the proposed model for image restoration is evaluated through computer simulations. In the examples, the implementation of the proposed lattice estimator as 2-D adaptive noise cancellator (ANC) and 2-D adaptive line enhancer (ALE) is considered.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E80-A No.1 pp.140-147

Publication Date: 1997/01/25

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Category: Digital Signal Processing

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Takayuki NAKACHI, Katsumi YAMASHITA, Nozomu HAMADA, "A 2-D Adaptive Joint-Process Lattice Estimator for Image Restoration" in IEICE TRANSACTIONS on Fundamentals, vol. E80-A, no. 1, pp. 140-147, January 1997, doi: .
Abstract: The present paper examines a two-dimensional (2-D) joint-process lattice estimator and its implementation for image restoration. The gradient adaptive lattice (GAL) algorithm is used to update the filter coefficients. The proposed adaptive lattice estimator can represent a wider class of 2-D FIR systems than the conventional 2-D lattice models. Furthermore, its structure possesses orthogonality between the backward prediction errors. These results in superior convergence and tracking properties versus the transversal and other 2-D adaptive lattice estimators. The validity of the proposed model for image restoration is evaluated through computer simulations. In the examples, the implementation of the proposed lattice estimator as 2-D adaptive noise cancellator (ANC) and 2-D adaptive line enhancer (ALE) is considered.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e80-a_1_140/_p

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@ARTICLE{e80-a_1_140,
author={Takayuki NAKACHI, Katsumi YAMASHITA, Nozomu HAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A 2-D Adaptive Joint-Process Lattice Estimator for Image Restoration},
year={1997},
volume={E80-A},
number={1},
pages={140-147},
abstract={The present paper examines a two-dimensional (2-D) joint-process lattice estimator and its implementation for image restoration. The gradient adaptive lattice (GAL) algorithm is used to update the filter coefficients. The proposed adaptive lattice estimator can represent a wider class of 2-D FIR systems than the conventional 2-D lattice models. Furthermore, its structure possesses orthogonality between the backward prediction errors. These results in superior convergence and tracking properties versus the transversal and other 2-D adaptive lattice estimators. The validity of the proposed model for image restoration is evaluated through computer simulations. In the examples, the implementation of the proposed lattice estimator as 2-D adaptive noise cancellator (ANC) and 2-D adaptive line enhancer (ALE) is considered.},
keywords={},
doi={},
ISSN={},
month={January},}

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TY - JOUR
TI - A 2-D Adaptive Joint-Process Lattice Estimator for Image Restoration
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 140
EP - 147
AU - Takayuki NAKACHI
AU - Katsumi YAMASHITA
AU - Nozomu HAMADA
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E80-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 1997
AB - The present paper examines a two-dimensional (2-D) joint-process lattice estimator and its implementation for image restoration. The gradient adaptive lattice (GAL) algorithm is used to update the filter coefficients. The proposed adaptive lattice estimator can represent a wider class of 2-D FIR systems than the conventional 2-D lattice models. Furthermore, its structure possesses orthogonality between the backward prediction errors. These results in superior convergence and tracking properties versus the transversal and other 2-D adaptive lattice estimators. The validity of the proposed model for image restoration is evaluated through computer simulations. In the examples, the implementation of the proposed lattice estimator as 2-D adaptive noise cancellator (ANC) and 2-D adaptive line enhancer (ALE) is considered.
ER -