Abstract
In this paper, we propose a high quality deinterlacing method using vertical temporal filtering with spatial registration. Vertical temporal filtering methods generally perform well with low levels of complexity. However, they may also produce visible artifacts in moving scenes since incorrect blocks can be used from adjacent fields. By applying global spatial registration before performing vertical temporal filtering, we reduced these deinterlacing errors. To compute the global motion vector, we used a small number of pixels to reduce the computational complexity. However, this global spatial registration sometimes produced artifacts in stationary areas. To solve this problem, we selectively used the conventional vertical temporal filtering method and the spatially registered vertical temporal filtering method. We conducted experiments using CIF and HD progressive video sequences, some of which contained fast motion scenes. Experimental results show that the proposed method noticeably improved video quality in terms of subjective and objective evaluations. The proposed method showed 2-7 dB improvement in terms of PSNR compared to existing methods in fast moving video sequences.1
| Original language | English |
|---|---|
| Article number | 6490258 |
| Pages (from-to) | 182-190 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 59 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 Apr 17 |
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All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering
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High quality spatially registered vertical temporal filtering for deinterlacing. / Lee, Kwon; Lee, Chulhee.
In: IEEE Transactions on Consumer Electronics, Vol. 59, No. 1, 6490258, 17.04.2013, p. 182-190.Research output: Contribution to journal › Article
TY - JOUR
T1 - High quality spatially registered vertical temporal filtering for deinterlacing
AU - Lee, Kwon
AU - Lee, Chulhee
PY - 2013/4/17
Y1 - 2013/4/17
N2 - In this paper, we propose a high quality deinterlacing method using vertical temporal filtering with spatial registration. Vertical temporal filtering methods generally perform well with low levels of complexity. However, they may also produce visible artifacts in moving scenes since incorrect blocks can be used from adjacent fields. By applying global spatial registration before performing vertical temporal filtering, we reduced these deinterlacing errors. To compute the global motion vector, we used a small number of pixels to reduce the computational complexity. However, this global spatial registration sometimes produced artifacts in stationary areas. To solve this problem, we selectively used the conventional vertical temporal filtering method and the spatially registered vertical temporal filtering method. We conducted experiments using CIF and HD progressive video sequences, some of which contained fast motion scenes. Experimental results show that the proposed method noticeably improved video quality in terms of subjective and objective evaluations. The proposed method showed 2-7 dB improvement in terms of PSNR compared to existing methods in fast moving video sequences.1
AB - In this paper, we propose a high quality deinterlacing method using vertical temporal filtering with spatial registration. Vertical temporal filtering methods generally perform well with low levels of complexity. However, they may also produce visible artifacts in moving scenes since incorrect blocks can be used from adjacent fields. By applying global spatial registration before performing vertical temporal filtering, we reduced these deinterlacing errors. To compute the global motion vector, we used a small number of pixels to reduce the computational complexity. However, this global spatial registration sometimes produced artifacts in stationary areas. To solve this problem, we selectively used the conventional vertical temporal filtering method and the spatially registered vertical temporal filtering method. We conducted experiments using CIF and HD progressive video sequences, some of which contained fast motion scenes. Experimental results show that the proposed method noticeably improved video quality in terms of subjective and objective evaluations. The proposed method showed 2-7 dB improvement in terms of PSNR compared to existing methods in fast moving video sequences.1
UR - http://www.scopus.com/inward/record.url?scp=84876158622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876158622&partnerID=8YFLogxK
U2 - 10.1109/TCE.2013.6490258
DO - 10.1109/TCE.2013.6490258
M3 - Article
AN - SCOPUS:84876158622
VL - 59
SP - 182
EP - 190
JO - IEEE Transactions on Consumer Electronics
JF - IEEE Transactions on Consumer Electronics
SN - 0098-3063
IS - 1
M1 - 6490258
ER -