The invention relates to a single image super-division and perceptual image enhancement combined task learning system, an electronic device and a storage medium; the single image super-division and perceptual image enhancement combined task learning system comprises a deep network model, and the deep network model comprises a first network, a second network and a third network, wherein the first network comprises a large coding and decoding small coding and decoding residual network and a local residual network containing superposed lightweight multi-scale residual blocks with different kernel sizes, and local and global information is described at the same time by using a multi-path learning strategy; the second network comprises two groups of parallel convolutional layers sharing information and is used for enhancing high-frequency details of the image; the third network includes a U-net network and a color correction module for seeking an optimal fused color correction matrix to learn color and tone mappings. According to the invention, the problem that the visual effect of the image cannot be well improved by an image super-division and perceptual image enhancement combined task in the prior art is solved.
Single image super-division and perceptual image enhancement combined task learning system