This paper presents an image deblurring method using 0-norm based deblurring and 2-norm based textureaware image fusion for remote sensing images. To restore the details of blurred texture, the proposed method first perform texture restoration by fusing the restored results using Richardson-Lucy deconvolution and unsharp masking. Next, we analyzed the intensity and dark channel properties of remote sensing images and perform the 0-norm based deblurring using the intensity and dark channel priors. Although the 0-norm based deblurring can provide a significantly restored result, it cannot overcome the loss of the texture region. On the other hand, the proposed 2norm based image fusion method can preserve both sharp edges and texture details. In the experiments, we demonstrate that the proposed method can provide better restored results than existing state-of-the-art deblurring methods without over-smoothing and undesired artifact.
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