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Communication dans un congrès

Wavelet transform based new interpolation technique for satellite image resolution enhancement

Abstract :

In this research paper, we propose a new interpolation technique based on the Stationary Wavelet Transform (SWT) and iterative back projection (IBP) for satellite images. Firstly the low resolution image is interpolated by using bicubic interpolation and then decomposed into different subband images by SWT. Each subband is decimated to four lower low resolution images. The four low resolution images are interpolated and registered by using bicubic interpolation and IBP respectively. Inverse SWT (ISWT) is used to generate a Super-resolved output image. The proposed interpolation technique has been tested on several remote sensing images. The quantitative PSNR and SSIM results as well as the visual results show the superiority of the proposed interpolation technique over the other interpolation and image resolution enhancement techniques. For one of the images the PSNR of the proposed method has achieved 3.84dB, 2.11dB, and 1.1dB more improvements than bicubic interpolation, Irani and Peleg technique, and Wavlet Zero Padding technique respectively.

Type de document :
Communication dans un congrès
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Contributeur : Okina Université d'Angers <>
Soumis le : mardi 13 juillet 2021 - 11:37:21
Dernière modification le : mercredi 14 juillet 2021 - 03:43:29




Pejman Rasti, Iiris Lüsi, Hasan Demirel, Rudolf Kiefer. Wavelet transform based new interpolation technique for satellite image resolution enhancement. 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES), 2014, Yogyakarta, Indonesia. pp.185-188, ⟨10.1109/ICARES.2014.7024405⟩. ⟨hal-03285339⟩



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