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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Carey, W.K., Chuang, D.B., Hemami, S.S.: Regularity preserving image interpolation. IEEE Trans. on Image Process 8, 1295–1297 (1999)
Temizel, A., Vlachos, T.: Image resolution upscaling in the wavelet domain using directional cycle spinning. J. Electron. Imaging 14, 040501 (2005)
Temizel, A., Vlachos, T.: Wavelet domain image resolution enhancement. IEEE Proc. Vision Image Sig. Process. 153, 25–30 (2006)
Demirel, H., Anbarjafari, G.: Satellite image resolution enhancement using complex wavelet transform. IEEE Geosci. Remote Sens. Lett. 7, 123–126 (2010)
Demirel, H., Anbarjafari, G.: Image resolution enhancement by using discrete and stationary wavelet decomposition. IEEE Trans. Image Process. 20, 1458–1460 (2011)
Iqbal, M.Z., Ghafoor, A., Siddiqui, A.M.: Satellite image resolution enhancement using dual-tree complex wavelet transform and nonlocal means. IEEE Geosci. Remote Sens. Lett. 10, 451–455 (2013)
Zadeh, P.B., Akbari, A.S.: Image resolution enhancement using multi-wavelet and cycle-spinning. In: The United Kingdom Automatic Control Council (UKACC) International Conference on Control (CONTROL 2012), pp. 789–792 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-23276-8_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23275-1
Online ISBN: 978-3-319-23276-8
eBook Packages: Computer ScienceComputer Science (R0)