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Satellite image resolution enhancement using discrete wavelet transform and new edge-directed interpolation

[+] Author Affiliations
Wasnaa Witwit, Yifan Zhao

Cranfield University, Through-life Engineering Services Institute, Cranfield Manufacturing, Cranfield, United Kingdom

Karl Jenkins

Cranfield University, Centre for Computational Engineering Sciences, Cranfield Aerospace, Cranfield, United Kingdom

Yitian Zhao

Beijing Institute of Technology, School of Optics and Electronics, Beijing Engineering Research Center of Mixed Reality and Advanced Display, Beijing, China

J. Electron. Imaging. 26(2), 023014 (Mar 30, 2017). doi:10.1117/1.JEI.26.2.023014
History: Received November 28, 2016; Accepted March 16, 2017
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Abstract.  An image resolution enhancement approach based on discrete wavelet transform (DWT) and new edge-directed interpolation (NEDI) for degraded satellite images by geometric distortion to correct the errors in image geometry and recover the edge details of directional high-frequency subbands is proposed. The observed image is decomposed into four frequency subbands through DWT, and then the three high-frequency subbands and the observed image are processed with NEDI. To better preserve the edges and remove potential noise in the estimated high-frequency subbands, an adaptive threshold is applied to process the estimated wavelet coefficients. Finally, the enhanced image is reconstructed by applying inverse DWT. Four criteria are introduced, aiming to better assess the overall performance of the proposed approach for different types of satellite images. A public satellite images data set is selected for the validation purpose. The visual and quantitative results show the superiority of the proposed approach over the conventional and state-of-the-art image resolution enhancement techniques.

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Citation

Wasnaa Witwit ; Yifan Zhao ; Karl Jenkins and Yitian Zhao
"Satellite image resolution enhancement using discrete wavelet transform and new edge-directed interpolation", J. Electron. Imaging. 26(2), 023014 (Mar 30, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.2.023014


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