Motion-compensated deinterlacing using edge information

Taeuk Jeong; Chulhee Lee

Motion-compensated deinterlacing using edge information

Taeuk Jeong, Chulhee Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a new deinterlacing method using motion estimation and compensation of edge regions. Although motion-compensated deinterlacing methods provide significant results in interlaced-to-progressive conversion, they still have undesirable artifacts in fast moving areas and edge regions. The proposed method mitigates the problems by applying the edge region motion estimation and compensation with properly small search range. After filling the missing lines with the conventional spatial and temporal methods, motion estimation and compensation is applied to the predefined edge areas. Experimental results show that the proposed method produces noticeable improvement more than existing motion-compensated deinterlacing methods.

Original language	English
Title of host publication	Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings
Publisher	Springer Verlag
Pages	545-553
Number of pages	9
ISBN (Print)	3540446303, 9783540446309
Publication status	Published - 2006 Jan 1
Event	8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 - Antwerp, Belgium Duration: 2006 Sep 18 → 2006 Sep 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4179 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006
Country	Belgium
City	Antwerp
Period	06/9/18 → 06/9/21

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

Fingerprint Dive into the research topics of 'Motion-compensated deinterlacing using edge information'. Together they form a unique fingerprint.

Cite this

Jeong, T., & Lee, C. (2006). Motion-compensated deinterlacing using edge information. In Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings (pp. 545-553). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4179 LNCS). Springer Verlag.

@inproceedings{d61f9d241c274b63b7cfa09931514c54,

title = "Motion-compensated deinterlacing using edge information",

abstract = "In this paper, we propose a new deinterlacing method using motion estimation and compensation of edge regions. Although motion-compensated deinterlacing methods provide significant results in interlaced-to-progressive conversion, they still have undesirable artifacts in fast moving areas and edge regions. The proposed method mitigates the problems by applying the edge region motion estimation and compensation with properly small search range. After filling the missing lines with the conventional spatial and temporal methods, motion estimation and compensation is applied to the predefined edge areas. Experimental results show that the proposed method produces noticeable improvement more than existing motion-compensated deinterlacing methods.",

author = "Taeuk Jeong and Chulhee Lee",

year = "2006",

month = jan,

day = "1",

language = "English",

isbn = "3540446303",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "545--553",

booktitle = "Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings",

address = "Germany",

note = "8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 ; Conference date: 18-09-2006 Through 21-09-2006",

}

Jeong, T & Lee, C 2006, Motion-compensated deinterlacing using edge information. in Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4179 LNCS, Springer Verlag, pp. 545-553, 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006, Antwerp, Belgium, 06/9/18.

Motion-compensated deinterlacing using edge information. / Jeong, Taeuk; Lee, Chulhee.

Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings. Springer Verlag, 2006. p. 545-553 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4179 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Motion-compensated deinterlacing using edge information

AU - Jeong, Taeuk

AU - Lee, Chulhee

PY - 2006/1/1

Y1 - 2006/1/1

N2 - In this paper, we propose a new deinterlacing method using motion estimation and compensation of edge regions. Although motion-compensated deinterlacing methods provide significant results in interlaced-to-progressive conversion, they still have undesirable artifacts in fast moving areas and edge regions. The proposed method mitigates the problems by applying the edge region motion estimation and compensation with properly small search range. After filling the missing lines with the conventional spatial and temporal methods, motion estimation and compensation is applied to the predefined edge areas. Experimental results show that the proposed method produces noticeable improvement more than existing motion-compensated deinterlacing methods.

AB - In this paper, we propose a new deinterlacing method using motion estimation and compensation of edge regions. Although motion-compensated deinterlacing methods provide significant results in interlaced-to-progressive conversion, they still have undesirable artifacts in fast moving areas and edge regions. The proposed method mitigates the problems by applying the edge region motion estimation and compensation with properly small search range. After filling the missing lines with the conventional spatial and temporal methods, motion estimation and compensation is applied to the predefined edge areas. Experimental results show that the proposed method produces noticeable improvement more than existing motion-compensated deinterlacing methods.

UR - http://www.scopus.com/inward/record.url?scp=33750414363&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750414363&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33750414363

SN - 3540446303

SN - 9783540446309

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 545

EP - 553

BT - Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings

PB - Springer Verlag

T2 - 8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006

Y2 - 18 September 2006 through 21 September 2006

ER -