Abstract
Remote sensing image deblurring is a long-term and challenging inverse problem. Among them, the ability to find the correct image prior is the key to recovering high-quality and clear images. Therefore, in order to recover high-quality clear images, this paper has found a new and effective image prior: The dark pixel a priori in remote sensing images and a fuzzy remote sensing image restoration method based on dark pixel prior is proposed. Since the dark pixels in the clear remote sensing image will increase the pixel value of the dark pixels in the blurred remote sensing image due to the weighted balance with the bright pixels around it, the sparsity of the dark pixels in the blurred remote sensing image is reduced. Therefore, by using this nonsparse feature of dark pixels in fuzzy remote sensing images, fuzzy remote sensing images and clear remote sensing images can be effectively distinguished, thus realizing the restoration of fuzzy remote sensing images. The experimental results show that the proposed method has obvious effects on the restoration effect and time.
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