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Wavelet Based Image Enlargement Technique

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Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security (ICGS3 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 534))

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  • International Conference on Global Security, Safety, and Sustainability

Abstract

This paper presents an image enlargement technique using a wavelet transform. The proposed technique considers the low resolution input image as the wavelet baseband and estimates the information in high-frequency sub-bands from the wavelet high-frequency sub-bands of the input image using wavelet filters. The super-resolution image is finally generated by applying an inverse wavelet transform on the high resolution sub-bands. To evaluate the performance of the proposed image enlargement technique, five standard test images with a variety of frequency components were chosen and enlarged using the proposed technique and six state of the art algorithms. Experimental results show the proposed technique significantly outperforms the classical and non-classical super-resolution methods, both subjectively and objectively.

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Correspondence to Akbar Sheikh Akbari .

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© 2015 Springer International Publishing Switzerland

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Sheikh Akbari, A., Bagheri Zadeh, P. (2015). Wavelet Based Image Enlargement Technique. In: Jahankhani, H., Carlile, A., Akhgar, B., Taal, A., Hessami, A., Hosseinian-Far, A. (eds) Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security. ICGS3 2015. Communications in Computer and Information Science, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-23276-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-23276-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23275-1

  • Online ISBN: 978-3-319-23276-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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