Title :
Image interpolation using oriented wavelet transforms
Author :
Velisavljevic, Vladan
Author_Institution :
Deutsche Telekom Labs., Berlin, Germany
Abstract :
A novel directionally adaptive image interpolation method based on the oriented wavelet transforms is proposed. The method uses the wavelet transforms built along multiple directions (directionlets) to efficiently capture directional features and to extract edge information from the low-resolution image. Then, the high-resolution image is synthesized using the extracted information to preserve sharpness of edges and texture. The novel interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image.
Keywords :
adaptive signal processing; edge detection; feature extraction; image capture; image resolution; image texture; interpolation; wavelet transforms; adaptive image interpolation method; directional feature capture; edge information extraction; edge sharpness; high-resolution image synthesis; low-resolution image texture; oriented wavelet transform; visual quality; Estimation; Image edge detection; Interpolation; Signal processing algorithms; Visualization; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne