Daryl J. Morse

dblp:123/2747 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none

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

Computer networks · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › adaptive coding
adaptive compression
0.011991
Adaptive compression coding · IEEE Trans. Commun. 1991
Image and video coding › image compression › lossy image compression
block truncation coding
0.011991
Adaptive compression coding · IEEE Trans. Commun. 1991
Image and video coding › block-based coding
quadtree coding
0.011991
Adaptive compression coding · IEEE Trans. Commun. 1991

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

threshold-based region classification · 0.0
YearPublicationVenuePosition
1991 Adaptive compression coding
abstract
A compression technique which preserves edges in compressed pictures is developed. The proposed compression algorithm adapts itself to the local nature of the image. Smooth regions are represented by their averages and edges are preserved using quad trees. Textured regions are encoded using BTC (block truncation coding) and a modification of BTC using look-up tables. A threshold using a range which is the difference between the maximum and the minimum grey levels in a 4*4 pixel quadrant is used. At the recommended value of the threshold (equal to 18), the quality of the compressed texture regions is very high, the same as that of AMBTC (absolute moment block truncation coding), but the edge preservation quality is far superior to that of AMBTC. Compression levels below 0.5-0.8 b/pixel may be achieved.>
Panos Nasiopoulos, Rabab K. Ward, Daryl J. Morse
IEEE Trans. Commun.3