Image nonlinear interpolation acquisition method and acquisition system based on deep learning

The invention discloses an image nonlinear interpolation acquisition method and system based on deep learning, and belongs to the technical field of image processing, and the method comprises the steps: 1, building a data set; 2, detecting an unqualified target in the interpolated image by using a deep learning target detection method to obtain a first target detection deep neural network; 3, detecting the position of an unqualified target in the original image and pixels near the unqualified target by using a deep learning target detection method, and obtaining a second target detection deepneural network; 4, based on the data set, the first target detection deep neural network and the second target detection deep neural network, performing training to obtain a deep neural network, and outputting a correct interpolation through the deep neural network. According to the invention, a deep learning target detection technology is used, a data set of artificial interpolation correction isconstructed, an image background is combined, an unqualified target and related nearby related pixels in a traditional interpolation algorithm are identified, and a correct interpolation is output incombination with an example of artificial interpolation.