A general fusion framework based on multiscale transform and block compressed sensing sampling for multifocus images

Huang Na
Huang Na
Fan Qi
Fan Qi

Boletin Tecnico/Technical Bulletin, pp. 168-179, 2017.

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Abstract:

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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