Sparse Representation based Multi-sensor Image Fusion: A Review

12 Feb 2017Qiang ZhangYi LiuRick S. BlumJungong HanDacheng Tao

As a result of several successful applications in computer vision and image processing, sparse representation (SR) has attracted significant attention in multi-sensor image fusion. Unlike the traditional multiscale transforms (MSTs) that presume the basis functions, SR learns an over-complete dictionary from a set of training images for image fusion, and it achieves more stable and meaningful representations of the source images... (read more)

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