Supplementary Material-"Multi-exposure microscopic image fusion-based detail enhancement algorithm.

  1. Singh, Harbinder
  2. Cristobal, Gabriel
  3. Bueno, Gloria
  4. Blanco, Saul
  5. Singh, Simrandeep
  6. Hrisheekesha, P.N.
  7. Mittal, Nitin

Editor: figshare

Ano de publicación: 2023

Tipo: Dataset

Número de versión: 8

CC BY 4.0

DOI: 10.6084/M9.FIGSHARE.14854161 lock_openAcceso aberto editor
Versións do conxunto de datos :
Número de versión Creado DOI
8 01-02-2023 10.6084/m9.figshare.14854161.v9
7 21-11-2021 10.6084/m9.figshare.14854161.v8
6 24-07-2021 10.6084/m9.figshare.14854161.v7
5 21-07-2021 10.6084/m9.figshare.14854161.v6
4 19-07-2021 10.6084/m9.figshare.14854161.v5
3 17-07-2021 10.6084/m9.figshare.14854161.v4
2 17-07-2021 10.6084/m9.figshare.14854161.v3
1 29-06-2021 10.6084/m9.figshare.14854161.v2

Resumo

The multi-exposure image fusion results of nine "Aqualitas" image data sets. Multi-exposure microscopy images are fused for detail enhancement. The ambition is to preserve details in poorly illuminated and brightly illuminated regions of 3-D transparent diatom shells. The aforesaid objective is achieved by taking into account local information measure that select well-exposed regions across input exposures.<br>