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Satellite Image Resolution Enhancement Based on Interpolation of Wavelet Domain


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1 R.M.K Engineering College, Chennai, India
     

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Satellite images are being used in many field of research, so it is essential to have high resolution Satellite images. Satellite images are affected by various factors such as absorption, scattering etc in the space, resolution of these images is very low. Wavelet domain based methods have proved themselves as most efficient technique serving for the required purpose. In this work, a new satellite image resolution enhancement technique has been proposed whereby discrete wavelet transform (DWT) is used to decompose the input image into different subbands then the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution enhanced image by using inverse DWT. Both qualitative and quantitative analysis proves that resolution is increased and visual quality of the image has been improved.

Keywords

Discrete Wavelet Transform, Interpolation, Resolution Enhancement, Satellite Image.
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  • Satellite Image Resolution Enhancement Based on Interpolation of Wavelet Domain

Abstract Views: 209  |  PDF Views: 2

Authors

V. Shobana
R.M.K Engineering College, Chennai, India

Abstract


Satellite images are being used in many field of research, so it is essential to have high resolution Satellite images. Satellite images are affected by various factors such as absorption, scattering etc in the space, resolution of these images is very low. Wavelet domain based methods have proved themselves as most efficient technique serving for the required purpose. In this work, a new satellite image resolution enhancement technique has been proposed whereby discrete wavelet transform (DWT) is used to decompose the input image into different subbands then the high-frequency subband images and the input low-resolution image have been interpolated, followed by combining all these images to generate a new resolution enhanced image by using inverse DWT. Both qualitative and quantitative analysis proves that resolution is increased and visual quality of the image has been improved.

Keywords


Discrete Wavelet Transform, Interpolation, Resolution Enhancement, Satellite Image.