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N. Garguir

dblp:271/8884 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1979
—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 › transform coding
discrete cosine transform		 0.011979
Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images · IEEE Trans. Commun. 1979
Image and video coding › transform coding
singular value decomposition coding		 0.011979
Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images · IEEE Trans. Commun. 1979
Image and video coding
transform coding		 0.011979
Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images · IEEE Trans. Commun. 1979
Image and video coding
rate-distortion optimization		 0.011979
Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images · IEEE Trans. Commun. 1979

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

mean-square error analysis · 0.0
YearPublicationVenuePosition
1979 Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images
abstract
An adaptive coding for singular value decomposition (SVD) samples is described in order to reduce the amount of transmitted data for monochrome images. This method is compared to the discrete cosine transform in terms of mean square error. Low bit rates, as 0.8 bits/pixel, are attempted with a good visual quality and low RMS error (0.087%). The visual and mathematical results of the transmission errors are shown and given.
N. Garguir
 IEEE Trans. Commun.1