HALFTONING AS OPTIMAL QUANTIZATION.

Michael Werman; Shmuel Peleg

HALFTONING AS OPTIMAL QUANTIZATION.

Michael Werman^*
, Shmuel Peleg

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

An algorithm for reducing the number of gray levels of a picture with minimal degradation (in a mathematically defined sense) is described. This method can produce a binary halftone of the picture, which is needed for many types of hard copy devices. The algorithm is based on a novel notion of distance between pictures that captures visual aspects.

Original language	English
Title of host publication	Proceedings - International Conference on Pattern Recognition
Publisher	IEEE
Pages	1114-1116
Number of pages	3
ISBN (Print)	0818607424
State	Published - 1986

Publication series

Name	Proceedings - International Conference on Pattern Recognition

Cite this

@inproceedings{bac0637d2c434324a980b5ab6548a51c,

title = "HALFTONING AS OPTIMAL QUANTIZATION.",

abstract = "An algorithm for reducing the number of gray levels of a picture with minimal degradation (in a mathematically defined sense) is described. This method can produce a binary halftone of the picture, which is needed for many types of hard copy devices. The algorithm is based on a novel notion of distance between pictures that captures visual aspects.",

author = "Michael Werman and Shmuel Peleg",

year = "1986",

language = "אנגלית",

isbn = "0818607424",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "IEEE",

pages = "1114--1116",

booktitle = "Proceedings - International Conference on Pattern Recognition",

}

TY - GEN

T1 - HALFTONING AS OPTIMAL QUANTIZATION.

AU - Werman, Michael

AU - Peleg, Shmuel

PY - 1986

Y1 - 1986

N2 - An algorithm for reducing the number of gray levels of a picture with minimal degradation (in a mathematically defined sense) is described. This method can produce a binary halftone of the picture, which is needed for many types of hard copy devices. The algorithm is based on a novel notion of distance between pictures that captures visual aspects.

AB - An algorithm for reducing the number of gray levels of a picture with minimal degradation (in a mathematically defined sense) is described. This method can produce a binary halftone of the picture, which is needed for many types of hard copy devices. The algorithm is based on a novel notion of distance between pictures that captures visual aspects.

UR - https://www.scopus.com/pages/publications/0022987980

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:0022987980

SN - 0818607424

T3 - Proceedings - International Conference on Pattern Recognition

SP - 1114

EP - 1116

BT - Proceedings - International Conference on Pattern Recognition

PB - IEEE

ER -

HALFTONING AS OPTIMAL QUANTIZATION.

Abstract

Publication series

Other files and links

Fingerprint

Cite this