Cargando…
An Objective Non-Reference Metric Based on Arimoto Entropy for Assessing the Quality of Fused Images
In the technologies, increasing attention is being paid to image fusion; nevertheless, how to objectively assess the quality of fused images and the performance of different fusion algorithms is of significance. In this paper, we propose a novel objective non-reference measure for evaluating image f...
Autores principales: | Li, Bicao, Li, Runchuan, Liu, Zhoufeng, Li, Chunlei, Wang, Zongmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515408/ http://dx.doi.org/10.3390/e21090879 |
Ejemplares similares
-
Nonrigid Medical Image Registration Using an Information Theoretic Measure Based on Arimoto Entropy with Gradient Distributions
por: Li, Bicao, et al.
Publicado: (2019) -
Heartbeat Classification Based on Multifeature Combination and Stacking-DWKNN Algorithm
por: Ji, Shasha, et al.
Publicado: (2021) -
Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
por: Okarma, Krzysztof, et al.
Publicado: (2021) -
SeedSortNet: a rapid and highly effificient lightweight CNN based on visual attention for seed sorting
por: Li, Chunlei, et al.
Publicado: (2021) -
An Intelligent Heartbeat Classification System Based on Attributable Features with AdaBoost+Random Forest Algorithm
por: Li, Runchuan, et al.
Publicado: (2021)