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Stephen J. Urban

dblp:24/8300 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

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 coding · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › document image compression
facsimile coding
0.011985
Measurement of data compression in advanced group 4 facsimile systems · Proc. IEEE 1985

Methods — techniques the papers use, named apart from their topics

computer simulation · 0.0
YearPublicationVenuePosition
1992 Technical features of the JBIG standard for progressive bi-level image compression
Horst Hampel, Ronald Arps, Christodoulos Chamzas, David Dellert, Donald L. Duttweiler, Toshiaki Endoh, William Equitz, Fumitaka Ono, Richard C. Pasco, Istvan Sebestyén, Cornelius J. Starkey, Stephen J. Urban, Yasuhiro Yamazaki, Tadashi Yoshida
Signal Process. Image Commun.12
1985 Measurement of data compression in advanced group 4 facsimile systems
abstract
The CCITT (Consultative Committee for International Telephone and Telegraph) has defined Group 4 facsimile apparatus as that which transmits an ISO A4 (210 × 297 mm) document over public data networks including Packet Switched Data Networks (PSDN) and Circuit Switched Data Networks (CSDN). Data compression is employed in Group 4 systems to minimize the number of bits required for transmission of a message. CCITT Recommendation T.6 defines the basic Group 4 coding scheme to be a variation of the modified READ code (MRC II) which is the Group 3 coding option. This paper measures the compression of the MRC II algorithm for three different documents at resolutions of 200, 240, 300, 400, and 480 picture elements per inch. The compression measurement was accomplished by means of computer simulation. It was determined that the bits per page measure increases linearly with resolution. Results are presented and conclusions drawn. The Group 4 CCITT Recommendations include a mode of operation known as Mixed Mode where a page is divided into two parts: character-coded information and facsimile-coded information. This paper describes four alternative mixed-mode algorithms and measures the compression of each coding technique for CCITT document number 1. The compression measurements were performed by means of computer simulation. Conclusions are drawn regarding the relative advantages of the four algorithms.
Dennis Bodson, Stephen J. Urban, Alan R. Deutermann, Charles E. Clarke
Proc. IEEE2