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Giorgos Sarailidis

dblp:80/11201 · also Georgios Sarailidis · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Image and video coding › quantization › image quantization
color quantization
0.112012
A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012
Image and video processing
halftoning
0.112012
A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012
Image and video processing › halftoning › error diffusion
multiscale error diffusion
0.112012
A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012
Image and video processing › halftoning
multitoning
0.112012
A Multiscale Error Diffusion Technique for Digital Multitoning · IEEE Trans. Image Process. 2012
Image and video coding
quantization
0.112012
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
YearPublicationVenuePosition
2012 A Multiscale Error Diffusion Technique for Digital Multitoning
abstract
Multitoning 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