Abstract
Interpolation plays an important role in static images and video sequences analysis. High resolution provides important information about still images or video sequences. In this paper, a novel method that combines the wavelet transform and neural network Is proposed for image interpolation. Haar wavelet transform and multilayers perceptron are applied. In order to evaluate the image quality, PSNR and a new image quality are both computed for the interpolated images. From the experimental results of testing five images, the proposed method may produce a better image quality of interpolated images than those for the other two traditional methods such as bilinear interpolation and bicubic interpolation.
| Original language | English |
|---|---|
| Title of host publication | 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 |
| Pages | 131-134 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2008 Sep 22 |
| Event | 5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 - Shenzhen, China Duration: 2008 May 30 → 2008 May 31 |
Publication series
| Name | 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 |
|---|
Other
| Other | 5th International Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd International Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 |
|---|---|
| Country | China |
| City | Shenzhen |
| Period | 08-05-30 → 08-05-31 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Biomedical Engineering
- Health Informatics
Cite this
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Image interpolation with self-training using wavelet transform and neural network. / Li, Ching N.; Cheng, Kuo-Sheng.
5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008. 2008. p. 131-134 4570610 (5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Image interpolation with self-training using wavelet transform and neural network
AU - Li, Ching N.
AU - Cheng, Kuo-Sheng
PY - 2008/9/22
Y1 - 2008/9/22
N2 - Interpolation plays an important role in static images and video sequences analysis. High resolution provides important information about still images or video sequences. In this paper, a novel method that combines the wavelet transform and neural network Is proposed for image interpolation. Haar wavelet transform and multilayers perceptron are applied. In order to evaluate the image quality, PSNR and a new image quality are both computed for the interpolated images. From the experimental results of testing five images, the proposed method may produce a better image quality of interpolated images than those for the other two traditional methods such as bilinear interpolation and bicubic interpolation.
AB - Interpolation plays an important role in static images and video sequences analysis. High resolution provides important information about still images or video sequences. In this paper, a novel method that combines the wavelet transform and neural network Is proposed for image interpolation. Haar wavelet transform and multilayers perceptron are applied. In order to evaluate the image quality, PSNR and a new image quality are both computed for the interpolated images. From the experimental results of testing five images, the proposed method may produce a better image quality of interpolated images than those for the other two traditional methods such as bilinear interpolation and bicubic interpolation.
UR - http://www.scopus.com/inward/record.url?scp=51849119298&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849119298&partnerID=8YFLogxK
U2 - 10.1109/ITAB.2008.4570610
DO - 10.1109/ITAB.2008.4570610
M3 - Conference contribution
SN - 9781424422555
T3 - 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
SP - 131
EP - 134
BT - 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008
ER -