抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity Start-up, Category: Grant-in-Aid for Research Activity Start-up, Fund Type: -, Overall Grant Amount: - (direct: 2100000, indirect: 630000)
This research is focused on the construction of an example-based hierarchical dictionary and its application for image super-resolution based on image self-similarity. The proposed dictionary constructs a hierarchical dictionary and relates a degraded atom with a multiple fine atom to represent various images from one degraded image. Based on the image self-similarity, we search similar neighbors and approximate target and neighbor patches with the dictionary and same coefficients under weights calculated from similarities of them. The proposed method save calculation costs and produces fine resultant images.