Dec 5, 2016 · Liu [31] proposes a multi-focus image fusion method based on sparse representation, a database of forty high quality natural images is utilized ...

Jul 1, 2022 · Multi-focus image fusion aims at combining multiple partially focused images of the same scenario into an all-focused image, and one of the ...

In this paper, a novel multi-focus image fusion approach is presented. Firstly, a joint dictionary is constructed by combining several sub-dictionaries ...

Mar 7, 2023 · In this paper, a novel multi-focus image fusion method via local energy and sparse representation in the shearlet domain is proposed. The source ...

Mar 7, 2023 · In this paper, a novel multi-focus image fusion method via local energy and sparse representation in the shearlet domain is proposed. The ...

Multi-focus image fusion aims at combining multiple partially focused images of the same scenario into an all-focused image, and one of the most effective ...

This work uses compressive sampling matched pursuit algorithm to extract corresponding sparse coefficients for the representation of source images and shows ...

In this paper, a novel multi-focus image fusion approach is presented. Firstly, a joint dictionary is constructed by combining several sub-dictionaries ...

Multi-focus image fusion aims at combining multiple partially focused images of the same scenario into an all-focused image, and one of the.

Mar 1, 2023 · In this paper, a novel multi-focus image fusion method via local energy and sparse representation in the shearlet domain is proposed. The source ...