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Proceedings Paper

Image resolution enhancement using dual-tree complex wavelet transform and neural networks
Author(s): Shirin Salehi; Homayoun Mahdavi-Nasab; Hossein Pourghassem
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Paper Abstract

In this paper, an image resolution enhancement algorithm using dual-tree complex wavelet transform and neural network is proposed. The low resolution image is used as the input signal of the neural network and the network estimates all the 16 wavelet subbands of the corresponding high resolution image. The high resolution image is then obtained using the inverse dual-tree complex wavelet transform. Directional selectivity of the DT-CWT increases the accuracy of subband estimation done by the neural network. Subjective comparisons and objective quality assessments indicate additional improvement over the conventional bicubic and bilinear interpolation techniques and even new complex counterpart methods.

Paper Details

Date Published: 30 September 2011
PDF: 8 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82850M (30 September 2011); doi: 10.1117/12.913285
Show Author Affiliations
Shirin Salehi, Islamic Azad Univ.-Najafabad Branch (Iran, Islamic Republic of)
Homayoun Mahdavi-Nasab, Islamic Azad Univ.-Najafabad Branch (Iran, Islamic Republic of)
Hossein Pourghassem, Islamic Azad Univ.-Najafabad Branch (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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