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| Title: | An adaptive video sub-sampling technique for the conversion between high and low resolution |
| Authors: | Wong, Hon Wah
Au, Oscar C.
Wong, Wai Chuen
Tourapis, Alexandros |
| Keywords: | Adaptive sub-sampling
Resolution
Conversion
Coding
Small degradation |
| Issue Date: | 1998 |
| Citation: | Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS 98, Monterey, CA, 31 May-3 June 1998, vol. 4, p. 281-284 |
| Abstract: | An adaptive sub-sampling technique is proposed for the conversion of high-resolution video to low-resolution video, which will eventually be converted back to high resolution. This technique can preserve high spatial frequency information by exploiting the temporal correlation of stationaly regions without any extra storage or transmission bandwidth. Coding complexity can be reduced by a factor of four if the video is to be eventually displayed in high-resolution, with small degradation in visual quality and peak-signal-to-noise ratio. Most of the edge information can be preserved when the low-resolution video is converted back to high-resolution video and significant improvement can be obtained compared with conventional methods. |
| Rights: | © 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| URI: | http://hdl.handle.net/1783.1/2582 |
| Appears in Collections: | ECE Conference Papers
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| adapt.pdf | pre-published version | 651Kb | Adobe PDF | View/Open |
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