Abstract
This paper proposes an adaptive edge-directed interpolation algorithm using multidirectional neighbor pixels. In order to restore multidirectional edges, a missing pixel is estimated as a weighted sum of 12 neighbor pixels. Based on the geometric duality between a low resolution image and a high resolution image, interpolation coefficients are predicted using Wiener filter theory. In order to reduce the computational complexity, interpolation region selection method is also proposed. An edge map for a low resolution image is obtained by canny edge detector. By analyzing edge continuities, only long edge regions are interpolated using 12 neighbor pixels. Short edge regions are interpolated by new edge-directed interpolation, and even regions are interpolated by a linear interpolation. Simulation results show that a proposed method restores major edges with several directions better than other methods in subjective tests while showing fair performance in objective tests.
| Original language | English |
|---|---|
| Title of host publication | TENCON 2011 - 2011 IEEE Region 10 Conference |
| Subtitle of host publication | Trends and Development in Converging Technology Towards 2020 |
| Pages | 385-388 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2011 Dec 1 |
| Event | 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia Duration: 2011 Nov 21 → 2011 Nov 24 |
Other
| Other | 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 |
|---|---|
| Country | Indonesia |
| City | Bali |
| Period | 11/11/21 → 11/11/24 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
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Adaptive multidirectional edge directed interpolation for selected edge regions. / Yun, Yujin; Bae, Jonghyun; Kim, Jaeseok.
TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020. 2011. p. 385-388 6129130.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Adaptive multidirectional edge directed interpolation for selected edge regions
AU - Yun, Yujin
AU - Bae, Jonghyun
AU - Kim, Jaeseok
PY - 2011/12/1
Y1 - 2011/12/1
N2 - This paper proposes an adaptive edge-directed interpolation algorithm using multidirectional neighbor pixels. In order to restore multidirectional edges, a missing pixel is estimated as a weighted sum of 12 neighbor pixels. Based on the geometric duality between a low resolution image and a high resolution image, interpolation coefficients are predicted using Wiener filter theory. In order to reduce the computational complexity, interpolation region selection method is also proposed. An edge map for a low resolution image is obtained by canny edge detector. By analyzing edge continuities, only long edge regions are interpolated using 12 neighbor pixels. Short edge regions are interpolated by new edge-directed interpolation, and even regions are interpolated by a linear interpolation. Simulation results show that a proposed method restores major edges with several directions better than other methods in subjective tests while showing fair performance in objective tests.
AB - This paper proposes an adaptive edge-directed interpolation algorithm using multidirectional neighbor pixels. In order to restore multidirectional edges, a missing pixel is estimated as a weighted sum of 12 neighbor pixels. Based on the geometric duality between a low resolution image and a high resolution image, interpolation coefficients are predicted using Wiener filter theory. In order to reduce the computational complexity, interpolation region selection method is also proposed. An edge map for a low resolution image is obtained by canny edge detector. By analyzing edge continuities, only long edge regions are interpolated using 12 neighbor pixels. Short edge regions are interpolated by new edge-directed interpolation, and even regions are interpolated by a linear interpolation. Simulation results show that a proposed method restores major edges with several directions better than other methods in subjective tests while showing fair performance in objective tests.
UR - http://www.scopus.com/inward/record.url?scp=84863015600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863015600&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2011.6129130
DO - 10.1109/TENCON.2011.6129130
M3 - Conference contribution
AN - SCOPUS:84863015600
SN - 9781457702556
SP - 385
EP - 388
BT - TENCON 2011 - 2011 IEEE Region 10 Conference
ER -