A general fusion framework based on multiscale transform and block compressed sensing sampling for multifocus images
Boletin Tecnico/Technical Bulletin, pp. 168-179, 2017.
Multiscale transform (MST) and compressed sensing (CS) are the widely used tools in signal processing. This paper proposes a general fusion framework by taking the superiorities of MST and block-based CS for multifocus images. In the framework, the MST is firstly performed on each source images to get their approximate subbands and detail...More
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