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

Ching N. Li; Kuo-Sheng Cheng

doi:10.1109/ITAB.2008.4570610

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

Ching N. Li, Kuo-Sheng Cheng

Department of Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1109/ITAB.2008.4570610
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

All Science Journal Classification (ASJC) codes

Computer Science(all)
Biomedical Engineering
Health Informatics

Access to Document

10.1109/ITAB.2008.4570610

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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).

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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.",

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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 proceeding › Conference contribution

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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