Image interpolation with directionlets
dc.contributor.author | Velisavljević, Vladan | en_GB |
dc.contributor.author | Coquoz, Raphael | en_GB |
dc.date.accessioned | 2013-05-22T13:58:37Z | |
dc.date.available | 2013-05-22T13:58:37Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Velisavljević, V. and Coquoz, R. (2008) 'Image interpolation with directionlets', IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), Las Vegas, NV, March 31-April 4 2008. Las Vegas: IEEE, pp.837-840 | en_GB |
dc.identifier.isbn | 9781424414840 | |
dc.identifier.doi | 10.1109/ICASSP.2008.4517740 | |
dc.identifier.uri | http://hdl.handle.net/10547/292575 | |
dc.description.abstract | We present a novel directionally adaptive image interpolation based on a multiple-direction wavelet transform, called directionlets. The algorithm uses directionlets to efficiently capture directional features and to extract edge information along different directions from the low-resolution image. Then, the high-resolution image is generated using this information to preserve sharpness of details. Our interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image. | |
dc.language.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4517740 | en_GB |
dc.subject | image processing | en_GB |
dc.subject | interpolation | en_GB |
dc.subject | wavelet transforms | en_GB |
dc.title | Image interpolation with directionlets | en |
dc.type | Conference papers, meetings and proceedings | en |
html.description.abstract | We present a novel directionally adaptive image interpolation based on a multiple-direction wavelet transform, called directionlets. The algorithm uses directionlets to efficiently capture directional features and to extract edge information along different directions from the low-resolution image. Then, the high-resolution image is generated using this information to preserve sharpness of details. Our interpolation algorithm outperforms the state-of-the-art methods in terms of both numeric and visual quality of the interpolated image. |
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