Abstract
Image resolution enhancement is one of the most common methods of low-level digital image. For effective functioning of image processing application, high resolution images are important. Image resolution enhancement means increasing the clarity of the system. The basic technique for image resolution enhancement is DWT. But due to loss of high frequency components, SWT is also combined with DWT. High frequency components of DWT are added it with high frequency components of SWT. Interpolation of high frequency sub-bands of DWT is taken. It is combined with SWT high sub-bands. Interpolation is applied to it. Finally, IDWT is applied to get an enhanced image. Haar wavelet is used in this method. Enhanced image is compared with the original image. PSNR is the main performance parameter. This method overcomes the drawback of DWT. İt is using a combination of interpolation, DWT & SWT for image resolution enhancement.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Demirel H, Anbarjafari G, Izadpanahi S (2009) Improved motion-based localized super resolution technique using discrete wavelet transform for low resolution video enhancement. Proc 17th Eur Signal Process Conf:1097–1101
Keys RG (1981) Cubic convolution interpolation for digital image processing. IEEE Trans Acoust Speech Signal Process 29(6):1153–1160
Demirel H, Anbarjafari G (2010) Satellite image resolution enhancement using complex wavelet transform. IEEE Geosci Remote Sens Lett 7(1):123–126
Atkins CB, Bouman CA, Allebach JP (2001) Optimal image scaling using pixel classification. Proc Int Conf Image Process 3:864–867
Carey WK, Chuang DB, Hemami SS (1999) Regularity-preserving image interpolation. IEEE Trans Image Process 8(9):1295–1297
Li X, Orchard MT (2001) New edge-directed interpolation. IEEE Trans Image Process 10:1521–1527
Kinebuchi K, Muresan DD, Baraniuk RG (2001) Wavelet-based statistical signal processing using hidden Markov models. Proc Int Conf Acoust Speech Signal Process 3:7–11
Zhao S, Han H, Peng S (2003) Wavelet domain HMT-based image super resolution. Proc IEEE Int Conf Image Process 2:933–936
Temizel A, Vlachos T (2005) Wavelet domain image resolution enhancement using cycle-spinning. Electron Lett 41(3):119–121
Phanindra P, Chinna Babu J, Usha Shree V (2013) VLSI implementation of medical image fusion using Haar transform. Int J Sci Eng Res 4(9):1437. ISSN 2229-5518
Anbarjafari G, Demirel H (2010) Image super resolution based on interpolation of wavelet domain high frequency sub-bands and the spatial domain input image. ETRI J 32(3):390–394
Demirel H, Anbarjafari G (2011) IMAGE resolution enhancement by using discrete and stationary wavelet decomposition. IEEE Trans Image Process 20(5):1458–1460
Piao Y, Shin I, Park HW (2007) Image resolution enhancement using inter-sub-band correlation in the wavelet domain. Proc Int Conf Image Process 1:I-445–I-448
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kulkarni, N.P. (2020). Advanced Method for Image Resolution Enhancement. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16848-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-16848-3_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16847-6
Online ISBN: 978-3-030-16848-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)