Super-resolution method based on single image

The invention relates to a super-resolution method based on a single image. The super-resolution method includes the steps that S1, bicubic interpolation is carried out on the input low-resolution image to obtain an initial high-resolution image; S2, the initial high-resolution image is divided into a plurality of image blocks overlapped mutually, then a similar image block grouping is obtained, and image noise of the similar image block grouping is removed; S3, the multiple denoised image blocks are fused into a whole high-resolution image, a non-local similar image block and a weighting coefficient of each image block are solved, and the redundancy weight of a non-local similar image block grouping is calculated; S4, an on-line dictionary is updated according to the similar image block grouping and fused with an off-line dictionary; S5, the sparse representation coefficient, about a fused dictionary, of each image block is solved; S6, all the image blocks and the whole high-resolution image are reconstructed, if iterations do not converge and the number of the iterations is smaller than a preset threshold value, the previous steps are executed again, and otherwise the high-resolution image is output. The reality sense and accuracy of super-resolution reconstruction are promoted, and the super-resolution method has the advantage of removing the image noise at the same time.