Title :
New edge directed interpolation
Author :
Li, Xin ; Orchard, Michael T.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
This paper presents a novel edge orientation adaptive interpolation scheme for resolution enhancement of still images. In order to achieve ideal orientation adaptation, we propose to estimate the local covariance characteristics at low resolution but cleverly use them to direct the interpolation at high resolution based on the resolution invariant property of edge orientation. The orientation adaptive property guarantees the interpolation always go along the edge orientation but not across it. Our new interpolation scheme can generate images with dramatically higher visual quality than linear interpolation techniques while keeping the computational complexity still modest.
Keywords :
adaptive signal processing; computational complexity; covariance analysis; edge detection; image enhancement; image resolution; interpolation; computational complexity; edge directed interpolation; edge orientation adaptive interpolation; image visual quality; linear interpolation; local covariance characteristics estimation; resolution enhancement; resolution invariant property; still images; Anisotropic magnetoresistance; Filtering; Image edge detection; Image generation; Image quality; Interpolation; Kernel; Low pass filters; Signal resolution; Spatial resolution;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899369