IEICE TRANSACTIONS on Information
Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences
Summary :
In this paper, we introduce a low computing post processing algorithm to simultaneously suppress blocking and ringing artifacts of compressed video sequences. A new regularization function to incorporate smoothness to neighboring pixels is defined, where the function is composed of four sub-functions combined with pixel-based data fidelity and smoothing terms. Therefore, the solution can be obtained without inverse matrix or vector-matrix computation, so that low complexity implementation is possible. In addition, the regularization parameter controlling the relative importance between the data fidelity and the degree of smoothness is estimated from the available overhead information in decoder, such as, macroblock type and quantization step size. The experimental results show the capability and efficiency of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.3 pp.1214-1220
- Publication Date
- 2006/03/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.3.1214
- Type of Manuscript
- PAPER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Min-Cheol HONG, "Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 3, pp. 1214-1220, March 2006, doi: 10.1093/ietisy/e89-d.3.1214.
Abstract: In this paper, we introduce a low computing post processing algorithm to simultaneously suppress blocking and ringing artifacts of compressed video sequences. A new regularization function to incorporate smoothness to neighboring pixels is defined, where the function is composed of four sub-functions combined with pixel-based data fidelity and smoothing terms. Therefore, the solution can be obtained without inverse matrix or vector-matrix computation, so that low complexity implementation is possible. In addition, the regularization parameter controlling the relative importance between the data fidelity and the degree of smoothness is estimated from the available overhead information in decoder, such as, macroblock type and quantization step size. The experimental results show the capability and efficiency of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.3.1214/_p
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@ARTICLE{e89-d_3_1214,
author={Min-Cheol HONG, },
journal={IEICE TRANSACTIONS on Information},
title={Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences},
year={2006},
volume={E89-D},
number={3},
pages={1214-1220},
abstract={In this paper, we introduce a low computing post processing algorithm to simultaneously suppress blocking and ringing artifacts of compressed video sequences. A new regularization function to incorporate smoothness to neighboring pixels is defined, where the function is composed of four sub-functions combined with pixel-based data fidelity and smoothing terms. Therefore, the solution can be obtained without inverse matrix or vector-matrix computation, so that low complexity implementation is possible. In addition, the regularization parameter controlling the relative importance between the data fidelity and the degree of smoothness is estimated from the available overhead information in decoder, such as, macroblock type and quantization step size. The experimental results show the capability and efficiency of the proposed algorithm.},
keywords={},
doi={10.1093/ietisy/e89-d.3.1214},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - Low Computing Post Processing to Suppress Annoying Artifacts of Compressed Video Sequences
T2 - IEICE TRANSACTIONS on Information
SP - 1214
EP - 1220
AU - Min-Cheol HONG
PY - 2006
DO - 10.1093/ietisy/e89-d.3.1214
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2006
AB - In this paper, we introduce a low computing post processing algorithm to simultaneously suppress blocking and ringing artifacts of compressed video sequences. A new regularization function to incorporate smoothness to neighboring pixels is defined, where the function is composed of four sub-functions combined with pixel-based data fidelity and smoothing terms. Therefore, the solution can be obtained without inverse matrix or vector-matrix computation, so that low complexity implementation is possible. In addition, the regularization parameter controlling the relative importance between the data fidelity and the degree of smoothness is estimated from the available overhead information in decoder, such as, macroblock type and quantization step size. The experimental results show the capability and efficiency of the proposed algorithm.
ER -
English
