Effective satellite image enhancement based on the discrete wavelet transform

R. Vani and K. Soundara Rajan

International Journal of Business Information Systems, 2020, vol. 33, issue 4, 446-471

Abstract: Satellite image enhancement and restoration is scientifically possible by applying image processing and other soft computing techniques. In this study, a comparison of various existing satellite image resolution enhancement techniques in wavelet domain has been done. I propose a new satellite image enhancement technique based on DCWT-GWO. The novel technique employs the duel tree complex wavelets which, in relation to the classical wavelets, permit a faster execution of the wavelet transforms and furnish incredible flexibility in the generation of the wavelets. An effective system for noise reduction have designed in the backdrop of diverse categories of noise, where an optimal threshold is chosen for each sub band at diverse scales by means of the Gray Wolf optimisation (GWO) algorithm. The optimal threshold will denoise the image effectively. The fitness of the optimisation algorithm determine the quality of the image.

Keywords: satellite image enhancement; discrete complex wavelet transform; Gray Wolf optimisation; GWO. (search for similar items in EconPapers)
Date: 2020
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