Single-Frame Remote Sensing Image Super-Resolution Reconstruction Algorithm Based on Two-Dimensional Wavelet
2018
The obtained precisely
high frequencyinformation is the key of single-frame image super-resolution reconstruction by using two-dimensional wavelet. Because the
bicubic interpolationof
high frequencycomponents decomposed by wavelet will introduce noise, it will affect reconstruction effect. An improved algorithm using Fourier transform and zero-padding
resamplinginstead of
bicubic interpolationis proposed in this paper. The advantage of frequency domain
interpolationis obtained by using Fourier transform and zero-padding
resampling. And
high frequencycomponents obtained by wavelet decomposition of the original image can be
interpolatedoptimally without introducing noise, which makes the
high frequencydetails more precise in the reconstruction process. The experimental results show that the improved algorithm is superior to the traditional two-dimensional wavelet
reconstruction algorithm, which can be applied to the single-frame remote sensing image super-resolution reconstruction.
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