A filting method of multi-degree shift invariant wavelet based on satellite image

To avoid the degraded artifacts during satellite image acquisition, the subpixel technology is commonly used, which is interlacingly sampled with two images offsetting half a pixel of the same scene. However, the common interpolation is not highly precise. The reason is due to the fact that they are linear and local. In order to get a high degree of satellite image resolution, the paper proposes a multi-degree shift invariant complex wavelet filtering method. Based on the complex wavelet filtering method, the higher resolution remote sensing images can be attained. Accordingly, the algorithm of adaptive shrinkage complex wavelet denoising based inter-scale is combined with the algorithm mentioned above. The multi-degree interpolation and denoising method is proved to be more effective comparing with other common methods. The multi-degree filting method is suitable for processing the complicated remote sensing images, and can reconstruct the high-quality image perfectly from the multi-directional subimages.