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

Verleger: figshare

Datum der Publikation: 2021

Art: Dataset

CC BY 4.0

DOI: 10.6084/M9.FIGSHARE.14854161.V7 lock_openOpen Access editor

Zusammenfassung

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>