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Abstract

A super-resolution image reconstruction apparatus based on a classified dictionary database. The apparatus can select, from a training image, a first local block and a corresponding second down-sampled local block, extract corresponding features and combine the features into a dictionary group, and perform classification and pre-training on multiple dictionary groups by using calculated values of an LBS and an SES as classification marks, so as to obtain a classified dictionary database of multiple dictionary groups with classification marks. During image reconstruction, local features of a local block on an image to be reconstructed are extracted, the LBS and SES classification of the local block is matched with the LBS and SES classification of each dictionary in the classified dictionary database, so that matched dictionaries can be rapidly obtained, and lastly, image reconstruction is performed on the image to be reconstructed by using the matched dictionaries. Accordingly, the efficiency of super-resolution reconstruction of an image can be improved while high-frequency information of the image is restored.

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