A hybrid image restoring algorithm for interlaced video

Chih Yuan Lien; Chung Ping Young; Pei Yin Chen

doi:10.1109/LSP.2008.2011715

A hybrid image restoring algorithm for interlaced video

Chih Yuan Lien, Chung Ping Young, Pei Yin Chen

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

In this letter, a novel image restoring technique for interlaced video is presented. We employ a motion-degree detector to determine the type of motion in the adjacent pictures efficiently and a hybrid interpolation based on spatial and/or temporal information to restore the missing pixels for each motion type. Extensive experimental results demonstrate that our method can obtain better performances in terms of both quantitative evaluation and visual quality than the state-of-the-art image restoring techniques. Since the proposed method requires low computational complexity, it is very suitable for real-time hardware implementation and can be applied to current television systems.

Original language	English
Pages (from-to)	223-226
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/LSP.2008.2011715
Publication status	Published - 2009

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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abstract = "In this letter, a novel image restoring technique for interlaced video is presented. We employ a motion-degree detector to determine the type of motion in the adjacent pictures efficiently and a hybrid interpolation based on spatial and/or temporal information to restore the missing pixels for each motion type. Extensive experimental results demonstrate that our method can obtain better performances in terms of both quantitative evaluation and visual quality than the state-of-the-art image restoring techniques. Since the proposed method requires low computational complexity, it is very suitable for real-time hardware implementation and can be applied to current television systems.",

author = "Lien, {Chih Yuan} and Young, {Chung Ping} and Chen, {Pei Yin}",

note = "Funding Information: Manuscript received August 25, 2008; revised November 16, 2008. Current version published February 11, 2009. This work was supported in part by the National Science Council, R.O.C, under Grant NSC-97-2622-E-006-012-CC3. Also, this work made use of Shared Facilities supported by the Program of Top 100 Universities Advancement, Ministry of Education, Taiwan. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Konstantinos N. Plataniotis.",

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doi = "10.1109/LSP.2008.2011715",

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N2 - In this letter, a novel image restoring technique for interlaced video is presented. We employ a motion-degree detector to determine the type of motion in the adjacent pictures efficiently and a hybrid interpolation based on spatial and/or temporal information to restore the missing pixels for each motion type. Extensive experimental results demonstrate that our method can obtain better performances in terms of both quantitative evaluation and visual quality than the state-of-the-art image restoring techniques. Since the proposed method requires low computational complexity, it is very suitable for real-time hardware implementation and can be applied to current television systems.

AB - In this letter, a novel image restoring technique for interlaced video is presented. We employ a motion-degree detector to determine the type of motion in the adjacent pictures efficiently and a hybrid interpolation based on spatial and/or temporal information to restore the missing pixels for each motion type. Extensive experimental results demonstrate that our method can obtain better performances in terms of both quantitative evaluation and visual quality than the state-of-the-art image restoring techniques. Since the proposed method requires low computational complexity, it is very suitable for real-time hardware implementation and can be applied to current television systems.

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A hybrid image restoring algorithm for interlaced video

Abstract

All Science Journal Classification (ASJC) codes

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