Single image super-resolution rebuilding method

The invention discloses a single image super-resolution rebuilding method. Based on non-local similarity and a classification half-coupling dictionary learning algorithm, the method comprises a training stage and a rebuilding stage. According to the method, the half-coupling dictionary learning algorithm is used as a framework, training image block sparse domain classification based on mapping errors is introduced, and a heuristic method strategy conducted alternatively through the sparse domain classification and the half-coupling dictionary learning is adopted; sparse domain non-local similarity restriction items are introduced, structural information of training image block space is excavated in the sparse domain so as to rebuild more high-frequency details; the sparse representation algorithm based on non-local restriction is improved to meet the requirements of the half-coupling dictionary learning algorithm overall framework; further, an error compensation mechanism is introduced into the rebuilding stage to further improve the super-resolution rebuilding quality. Compared with the prior art, the method improves rebuilt texture details and forge edge and saw tooth removal, achieves good effects, and achieves best subjective visual effect in the prior art.