Image interpolation with self-training using wavelet transform and neural network

Ching N. Li, Kuo-Sheng Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication5th 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
Pages131-134
Number of pages4
DOIs
Publication statusPublished - 2008 Sep 22
Event5th 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 302008 May 31

Publication series

Name5th 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

Other5th 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
CountryChina
CityShenzhen
Period08-05-3008-05-31

Fingerprint

Wavelet Analysis
Wavelet transforms
Interpolation
Image quality
Neural networks
Neural Networks (Computer)
Sequence Analysis
Multilayer neural networks
Testing

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Biomedical Engineering
  • Health Informatics

Cite this

Li, C. N., & Cheng, K-S. (2008). Image interpolation with self-training using wavelet transform and neural network. In 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 (pp. 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). https://doi.org/10.1109/ITAB.2008.4570610
Li, Ching N. ; Cheng, Kuo-Sheng. / Image interpolation with self-training using wavelet transform and neural network. 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. pp. 131-134 (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).
@inproceedings{a9efba48cc74494e939b983cdcab91cb,
title = "Image interpolation with self-training using wavelet transform and neural network",
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.",
author = "Li, {Ching N.} and Kuo-Sheng Cheng",
year = "2008",
month = "9",
day = "22",
doi = "10.1109/ITAB.2008.4570610",
language = "English",
isbn = "9781424422555",
series = "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",
booktitle = "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",

}

Li, CN & Cheng, K-S 2008, Image interpolation with self-training using wavelet transform and neural network. in 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., 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, pp. 131-134, 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, 08-05-30. https://doi.org/10.1109/ITAB.2008.4570610

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 proceedingConference 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

AN - SCOPUS:51849119298

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 -

Li CN, Cheng K-S. Image interpolation with self-training using wavelet transform and neural network. In 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). https://doi.org/10.1109/ITAB.2008.4570610