multi-focusimagefusion:abenchmark

由 X Zhang 著作 · 2020 · 被引用 22 次 — MFIFB is the first benchmark in the field of MFIF and provides the community a platform to compare MFIF algorithms fairly and comprehensively.

To solve these issues, this paper presents a multi-focus image fusion benchmark (MFIFB) which consists a test set of 105 image pairs, a code library of 30 MFIF ...

It can actually act as a benchmark for the study of multi-focus image fusion. ... 3) Fusion results The results of 18 representative multi-focus image fusion ...

2020年5月3日 — MFIFB is the first benchmark in the field of MFIF and provides the community a platform to compare MFIF algorithms fairly and comprehensively.

由 S Liu 著作 · 2022 · 被引用 4 次 — (2019) proposed a MIF algorithm based on an adaptive dual-channel impulse cortical model and differential images in non-subsampled Shearlet ...

由 R Zafar 著作 · 2020 · 被引用 16 次 — The performance of each algorithm is assessed qualitatively and quantitatively on two benchmark multi-focus image datasets. We also produce a ...

In this paper, we fill this gap by proposing a benchmark for multi-exposure image fusion (MEFB) which consists of a test set of 100 image pairs, a code library ...

由 Y Liu 著作 · 2020 · 被引用 240 次 — All the relevant resources including source images, objective metrics and fusion results are released online, aiming to provide a benchmark for the future study ...

2020年5月3日 — A multi-focus image fusion benchmark (MFIFB) which consists a test set of 105 image pairs, a code library of 30 MFIF algorithms, ...