SINGLE-FRAME SUPER-RESOLUTION RECONSTRUCTION METHOD AND DEVICE BASED ON SPARSE DOMAIN RECONSTRUCTION

摘要

The disclosure relates to a method and a device for single frame super resolution reconstruction based on sparse domain reconstruction, The disclosure mainly solves the technical problem in the prior art that the reconstructed image with high quality cannot be obtained by selecting the appropriate interpolation function according to the prior knowledge of the image. The disclosure adopts the first paradigm of the example mapping learning to train the mapping M of the low resolution feature on the sparse domain B_l to the high resolution feature on the sparse domain B_h and the mapping of the high resolution feature on the sparse domain B_h to the high resolution feature Y_S, equalizing the mapping error and the reconstruction error to the mapping operator M, the reconstructed high-resolution dictionary Φ_h and the reconstructed high-resolution sparse coefficient B_h, the better solution to the problem, can be used for graphics processing.