30 March 2017 Satellite image resolution enhancement using discrete wavelet transform and new edge-directed interpolation
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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.
© 2017 SPIE and IS&T
Wasnaa Witwit, Yifan Zhao, Karl W. Jenkins, Yitian Zhao, "Satellite image resolution enhancement using discrete wavelet transform and new edge-directed interpolation," Journal of Electronic Imaging 26(2), 023014 (30 March 2017). https://doi.org/10.1117/1.JEI.26.2.023014 . Submission: Received: 28 November 2016; Accepted: 16 March 2017
Received: 28 November 2016; Accepted: 16 March 2017; Published: 30 March 2017
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