Demo Data from EDBT 2026 / reviewers in the wild / expert
María Herrera-Arellano
dblp:293/3831
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-8893-7882ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › image enhancement
contrast enhancement |
0.5 | 1 | 2021 | Visible-NIR Image Fusion Based on Top-Hat Transform · IEEE Trans. Image Process. 2021 |
Image and video processing
image enhancement |
0.5 | 1 | 2021 | Visible-NIR Image Fusion Based on Top-Hat Transform · IEEE Trans. Image Process. 2021 |
Image and video processing
image fusion |
0.5 | 1 | 2021 | Visible-NIR Image Fusion Based on Top-Hat Transform · IEEE Trans. Image Process. 2021 |
Methods — techniques the papers use, named apart from their topics
top-hat transform · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Visible-NIR Image Fusion Based on Top-Hat TransformabstractThe near-infrared band of the electromagnetic spectrum has become an important tool for enhancing image quality. Commonly, outdoor color images are degraded by bad weather conditions that lead to a loss of contrast and fine details in color images since light scattering produces attenuation and smoothing effects. Despite the fact that current Visible-NIR fusion methods achieve image enhancement features, some issues like edge preservation and color oversaturation still need to be addressed. In this work, a method that performs a selective Visible-NIR fusion of the most relevant image structures through top-hat transform is proposed. The performance of the method is evaluated by quantifying the new information added to the image and the change in color. Experimental results show a high degree of detail in preserving the edges while maintaining the color of the image. Moreover, the proposed method demonstrates that the image quality improvements were not significantly affected by a change in the color space. María Herrera-Arellano, Hayde Peregrina-Barreto, Iván R. Terol-Villalobos |
IEEE Trans. Image Process. | 1 |