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

All Science Journal Classification (ASJC) codes

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

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