TY - GEN
T1 - Edge-adaptive image interpolation using constrained least squares
AU - Mishiba, Kazu
AU - Suzuki, Taizo
AU - Ikehara, Masaaki
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Some adaptive image interpolation methods have been proposed to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and unnatural texture interpolation. This paper proposes a novel edge-adaptive image interpolation method using an edge-directed smoothness filter. Our approach estimates the enlarged image from the original image based on an observation model. The estimated image is constrained to have many edge-directed smooth pixels which are measured by using the edge-directed smoothness filter introduced in this paper. Simulation results show that the proposal method produces images with higher visual quality, higher PSNRs and faster computational times than the conventional methods.
AB - Some adaptive image interpolation methods have been proposed to create higher visual quality images than traditional interpolation methods such as bicubic interpolation. These methods, however, often suffer from high computational costs and unnatural texture interpolation. This paper proposes a novel edge-adaptive image interpolation method using an edge-directed smoothness filter. Our approach estimates the enlarged image from the original image based on an observation model. The estimated image is constrained to have many edge-directed smooth pixels which are measured by using the edge-directed smoothness filter introduced in this paper. Simulation results show that the proposal method produces images with higher visual quality, higher PSNRs and faster computational times than the conventional methods.
KW - Adaptive image interpolation
KW - Edge-directed smoothness
KW - Image processing
UR - http://www.scopus.com/inward/record.url?scp=78651070800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651070800&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2010.5652113
DO - 10.1109/ICIP.2010.5652113
M3 - Conference contribution
AN - SCOPUS:78651070800
SN - 9781424479948
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2837
EP - 2840
BT - 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
T2 - 2010 17th IEEE International Conference on Image Processing, ICIP 2010
Y2 - 26 September 2010 through 29 September 2010
ER -