TY - GEN
T1 - Adaptive multidirectional edge directed interpolation for selected edge regions
AU - Yun, Yujin
AU - Bae, Jonghyun
AU - Kim, Jaeseok
PY - 2011
Y1 - 2011
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
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 385
EP - 388
BT - TENCON 2011 - 2011 IEEE Region 10 Conference
T2 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Y2 - 21 November 2011 through 24 November 2011
ER -