11 June 2003 Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation
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Abstract
According to characteristic of image wavelet transform and interpolation, this paper proposes a remote sensing image interpolation method combining wavelet transform and interpolation algorithm, which can improve the remote sensing image resolution. Experiments show that the algorithm can properly retain abundant high frequency information in original remote sensing image. After interpolation processing and wavelet reconstruction, we can obtain a remote sensing image with higher resolution, better visual effect, higher Signal Noise Ratio (SNR), more detail information and no apparent warp. Therefore, this algorithm is an effective method of super-resolution remote sensing image processing.
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Hongjiu Tao, Xinjian Tang, Jian Liu, Jinwen Tian, "Superresolution remote sensing image processing algorithm based on wavelet transform and interpolation", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.468078; https://doi.org/10.1117/12.468078
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