TY - GEN
T1 - A low-complexity intra-field restoring method for interlaced image
AU - Yang, Fu Jhong
AU - Chen, Pei Yin
AU - Lien, Chih Yuan
AU - Chen, Ching Chieh
N1 - Funding Information:
This work was supported in part by the Ministry of Science and Technology, Taiwan, R.O.C., under MOST-105-2221-E-151-057. This research received funding from the Headquarters of University Advancement at the National Kaohsiung University of Applied Sciences, which is sponsored by the Ministry of Education, Taiwan, R.O.C.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/12/27
Y1 - 2017/12/27
N2 - In this paper, a low-complexity intra-field restoring method for interlaced image is presented. We employ an edge detector to recognize the edge direction of each processing position, and observing the pixel correlation and edge information. To reduce the computational complexity, we use intra-field de-interlacing method. Extensive experimental results demonstrate that our design achieved excellent performance in quantitative evaluation and visual quality than other image restoring techniques. The proposed algorithm has a simple computation structure. Therefore, it is suitable for real-time hardware implementation.
AB - In this paper, a low-complexity intra-field restoring method for interlaced image is presented. We employ an edge detector to recognize the edge direction of each processing position, and observing the pixel correlation and edge information. To reduce the computational complexity, we use intra-field de-interlacing method. Extensive experimental results demonstrate that our design achieved excellent performance in quantitative evaluation and visual quality than other image restoring techniques. The proposed algorithm has a simple computation structure. Therefore, it is suitable for real-time hardware implementation.
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U2 - 10.1145/3177404.3177442
DO - 10.1145/3177404.3177442
M3 - Conference contribution
AN - SCOPUS:85045847624
T3 - ACM International Conference Proceeding Series
SP - 109
EP - 112
BT - Proceedings of 2017 International Conference on Video and Image Processing, ICVIP 2017
PB - Association for Computing Machinery
T2 - 2017 International Conference on Video and Image Processing, ICVIP 2017
Y2 - 27 December 2017 through 29 December 2017
ER -