The invention provides a super-resolution, color gamut expansion and inverse tone mapping combined method and device, and the method comprises the steps: S1, carrying out down-conversion on video frames with high resolution, high color gamut and high dynamic range into video frames with low resolution, low color gamut and standard dynamic range, and forming a training data set and a test data set;S2, designing a convolutional neural network based on local residual learning and global residual learning; S3, continuously training and optimizing the convolutional neural network by using the training data set to obtain a convolutional neural network capable of completing joint super-resolution, color gamut extension and inverse tone mapping; and S4, inputting the low-resolution, low-color-gamut and standard dynamic range video frames in the test data set into the convolutional neural network obtained after training in S3 to obtain high-resolution, high-color-gamut and high-dynamic range video frames. According to the invention, the artifact problem of the existing method is improved, and the subjective and objective quality is improved.