In this paper, we propose a spatially adaptive gradient-projection algorithm for the H.264 video coding standard to remove coding artifacts using local statistics. A hybrid method combining a new weighted constrained least squares (WCLS) approach and the projection onto convex sets (POCS) approach is introduced, where weighting components are determined on the basis of the human visual system (HVS) and projection set is defined by the difference between adjacent pixels and the quantization index (QI). A new visual function is defined to determine the weighting matrices controlling the degree of global smoothness, and a projection set is used to obtain a solution satisfying local smoothing constraints, so that the coding artifacts such as blocking and ringing artifacts can be simultaneously removed. The experimental results show the capability and efficiency of the proposed algorithm.
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Kwon-Yul CHOI, Min-Cheol HONG, "A Spatially Adaptive Gradient-Projection Algorithm to Remove Coding Artifacts of H.264" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 5, pp. 1073-1081, May 2011, doi: 10.1587/transinf.E94.D.1073.
Abstract: In this paper, we propose a spatially adaptive gradient-projection algorithm for the H.264 video coding standard to remove coding artifacts using local statistics. A hybrid method combining a new weighted constrained least squares (WCLS) approach and the projection onto convex sets (POCS) approach is introduced, where weighting components are determined on the basis of the human visual system (HVS) and projection set is defined by the difference between adjacent pixels and the quantization index (QI). A new visual function is defined to determine the weighting matrices controlling the degree of global smoothness, and a projection set is used to obtain a solution satisfying local smoothing constraints, so that the coding artifacts such as blocking and ringing artifacts can be simultaneously removed. The experimental results show the capability and efficiency of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.1073/_p
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@ARTICLE{e94-d_5_1073,
author={Kwon-Yul CHOI, Min-Cheol HONG, },
journal={IEICE TRANSACTIONS on Information},
title={A Spatially Adaptive Gradient-Projection Algorithm to Remove Coding Artifacts of H.264},
year={2011},
volume={E94-D},
number={5},
pages={1073-1081},
abstract={In this paper, we propose a spatially adaptive gradient-projection algorithm for the H.264 video coding standard to remove coding artifacts using local statistics. A hybrid method combining a new weighted constrained least squares (WCLS) approach and the projection onto convex sets (POCS) approach is introduced, where weighting components are determined on the basis of the human visual system (HVS) and projection set is defined by the difference between adjacent pixels and the quantization index (QI). A new visual function is defined to determine the weighting matrices controlling the degree of global smoothness, and a projection set is used to obtain a solution satisfying local smoothing constraints, so that the coding artifacts such as blocking and ringing artifacts can be simultaneously removed. The experimental results show the capability and efficiency of the proposed algorithm.},
keywords={},
doi={10.1587/transinf.E94.D.1073},
ISSN={1745-1361},
month={May},}
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TY - JOUR
TI - A Spatially Adaptive Gradient-Projection Algorithm to Remove Coding Artifacts of H.264
T2 - IEICE TRANSACTIONS on Information
SP - 1073
EP - 1081
AU - Kwon-Yul CHOI
AU - Min-Cheol HONG
PY - 2011
DO - 10.1587/transinf.E94.D.1073
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2011
AB - In this paper, we propose a spatially adaptive gradient-projection algorithm for the H.264 video coding standard to remove coding artifacts using local statistics. A hybrid method combining a new weighted constrained least squares (WCLS) approach and the projection onto convex sets (POCS) approach is introduced, where weighting components are determined on the basis of the human visual system (HVS) and projection set is defined by the difference between adjacent pixels and the quantization index (QI). A new visual function is defined to determine the weighting matrices controlling the degree of global smoothness, and a projection set is used to obtain a solution satisfying local smoothing constraints, so that the coding artifacts such as blocking and ringing artifacts can be simultaneously removed. The experimental results show the capability and efficiency of the proposed algorithm.
ER -