Performance Improvement by Using an Edge-Adaptive Estimation Algorithm in FMSN-VQ
Summary :
This letter proposes an edge-adaptive estimation algorithm for estimating the mean and standard deviation of the image block in the Mean-Separated and Normalized Vector Quantizer with Feedback Estimation (FMSN-VQ). The adaptation is performed according to the block state which is estimated from its neighboring coded blocks with the consideration of the edge presence and orientation. The simulation results show that the estimation error is significantly reduced and higher SNR is achieved compared to FMSN-VQ with a fixed estimator. Furthermore, this algorithm adds very little complexity.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E74-A No.5 pp.1023-1027
- Publication Date
- 1991/05/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Issue on 1991 Spring Natl. Conv. IEICE)
- Category
- Signals,Circuits and Images
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Xiping WANG, Shinji OZAWA, "Performance Improvement by Using an Edge-Adaptive Estimation Algorithm in FMSN-VQ" in IEICE TRANSACTIONS on Fundamentals,
vol. E74-A, no. 5, pp. 1023-1027, May 1991, doi: .
Abstract: This letter proposes an edge-adaptive estimation algorithm for estimating the mean and standard deviation of the image block in the Mean-Separated and Normalized Vector Quantizer with Feedback Estimation (FMSN-VQ). The adaptation is performed according to the block state which is estimated from its neighboring coded blocks with the consideration of the edge presence and orientation. The simulation results show that the estimation error is significantly reduced and higher SNR is achieved compared to FMSN-VQ with a fixed estimator. Furthermore, this algorithm adds very little complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e74-a_5_1023/_p
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@ARTICLE{e74-a_5_1023,
author={Xiping WANG, Shinji OZAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performance Improvement by Using an Edge-Adaptive Estimation Algorithm in FMSN-VQ},
year={1991},
volume={E74-A},
number={5},
pages={1023-1027},
abstract={This letter proposes an edge-adaptive estimation algorithm for estimating the mean and standard deviation of the image block in the Mean-Separated and Normalized Vector Quantizer with Feedback Estimation (FMSN-VQ). The adaptation is performed according to the block state which is estimated from its neighboring coded blocks with the consideration of the edge presence and orientation. The simulation results show that the estimation error is significantly reduced and higher SNR is achieved compared to FMSN-VQ with a fixed estimator. Furthermore, this algorithm adds very little complexity.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Performance Improvement by Using an Edge-Adaptive Estimation Algorithm in FMSN-VQ
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1023
EP - 1027
AU - Xiping WANG
AU - Shinji OZAWA
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E74-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1991
AB - This letter proposes an edge-adaptive estimation algorithm for estimating the mean and standard deviation of the image block in the Mean-Separated and Normalized Vector Quantizer with Feedback Estimation (FMSN-VQ). The adaptation is performed according to the block state which is estimated from its neighboring coded blocks with the consideration of the edge presence and orientation. The simulation results show that the estimation error is significantly reduced and higher SNR is achieved compared to FMSN-VQ with a fixed estimator. Furthermore, this algorithm adds very little complexity.
ER -
English
