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Maximo D. Lema

dblp:203/6278 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1984
—ORCID · none

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

Computer networks · 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 coding · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image compression › lossy image compression
block truncation coding
0.011984
Absolute Moment Block Truncation Coding and Its Application to Color Images · IEEE Trans. Commun. 1984
Image and video coding › image compression
color image compression
0.011984
Absolute Moment Block Truncation Coding and Its Application to Color Images · IEEE Trans. Commun. 1984
Image and video coding
image compression
0.011984
Absolute Moment Block Truncation Coding and Its Application to Color Images · IEEE Trans. Commun. 1984
Image and video coding
quantization
0.011984
Absolute Moment Block Truncation Coding and Its Application to Color Images · IEEE Trans. Commun. 1984

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

moment-preserving quantization · 0.0mean-square error quantization · 0.0
YearPublicationVenuePosition
1984 Absolute Moment Block Truncation Coding and Its Application to Color Images
abstract
A new quantization method that uses the criterion of preserving sample absolute moments is presented. This is based on the same basic idea for block truncation coding of Delp and Mitchell but it is simpler in any practical implementation. Moreover, output equations are those for a two-level nonparametric minimum mean square error quantizer when the threshold is fixed to the sample mean. The application of this method to single frame color images is developed. A color image coding system that uses absolute moment block truncation coding of luminance and chroma information is presented. Resulting color images show reasonable performance with bit rates as low as 2.13 bits/pixel.
Maximo D. Lema, O. Robert Mitchell
IEEE Trans. Commun.1