Combining Multi-focus Fusion and DSGEF Two-stage Network to Reconstruct Solar Speckle Image

Because the solar speckle image has the characteristics of low contrast, similar structure of rice grains and small diffe-rence between frames, there are some problems such as insufficient high-frequency features and unrecoverable local details when using the existing reconstruction network for single frame deblurring.In this paper, a high-resolution reconstruction method of solar speckle image is proposed by combining multi-focus fusion and building gradient enhancement and FPN two-stage network.Firstly, the block-focused image fusion algorithm is performed to compensate for high-frequency details lost in the images by utilizing the complementary characteristics of similar information between sequence images.Secondly, a two-stage reconstruction network DSGEF is constructed based on the generative adversarial network（GAN）,which combines gradient branches and structural feature branches to enhance high-frequency details, uses FPN network for multi-scale feature reconstruction to improve the definition of rice