Demo Data from EDBT 2026 / reviewers in the wild / expert
Giorgos Sarailidis
dblp:80/11201 · also Georgios Sarailidis
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
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
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 · 60% Image and video coding · 40% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › quantization › image quantization
color quantization |
0.1 | 1 | 2012 | A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012 |
Image and video processing
halftoning |
0.1 | 1 | 2012 | A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012 |
Image and video processing › halftoning › error diffusion
multiscale error diffusion |
0.1 | 1 | 2012 | A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012 |
Image and video processing › halftoning
multitoning |
0.1 | 1 | 2012 | A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012 |
Image and video coding
quantization |
0.1 | 1 | 2012 | A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012 |
Methods — techniques the papers use, named apart from their topics
quadtree · 0.1error diffusion · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | A Multiscale Error Diffusion Technique for Digital MultitoningabstractMultitoning is the representation of digital pictures using a given set of available color intensities, which are also known as tones or quantization levels. It can be viewed as the generalization of halftoning, where only two such quantization levels are available. Its main application is for printing and, similar to halftoning, can be applied to both colored and grayscale images. In this paper, we present a method to produce multitones based on the multiscale error diffusion technique. Key characteristics of this technique are: 1) the use of an image quadtree; 2) the quantization order of the pixels being determined through "maximum intensity guidance" on the image quadtree; and 3) noncausal error diffusion. Special care has been given to the problem of banding, which is one of the inherent limitations in error diffusion when applied to multitoning. Banding is evident in areas of the image with values close to one of the available quantization levels; our approach is to apply a preprocessing step to alleviate part of the problem. Our results are evaluated both in terms of visual appearance and using a set of standard metrics, with the latter demonstrating the blue-noise characteristics and very low anisotropy of the proposed method. Giorgos Sarailidis, Ioannis Katsavounidis |
IEEE Trans. Image Process. | 1 |