Image compression algorithm based on morphological associative memories

Enrique Guzmán, Oleksiy Pogrebnyak, Cornelio Yáñez, José A. Moreno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

A new method for image compression based on Morphological Associative Memories (MAM) is proposed. We used MAM at the transformation stage of image coding, thereby replacing the traditional methods such as Discrete Cosine Transform or Wavelet Transform. After applying the MAM, the informative image data are concentrated in a minimum of values. The next stages of image coding can be obtained by taking advantage of this new representation of the image. The main advantage offered by the MAM with respect to the traditional methods is the speed of processing, whereas the compression rate and the obtained signal to noise ratios compete with the traditional methods. © Springer-Verlag Berlin Heidelberg 2006.
Original languageAmerican English
Title of host publicationImage compression algorithm based on morphological associative memories
Pages519-528
Number of pages466
ISBN (Electronic)3540465561, 9783540465560
StatePublished - 1 Jan 2006
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4225 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Associative Memory
Image Compression
Image compression
Data storage equipment
Image Coding
Image coding
Discrete Cosine Transform
Discrete cosine transforms
Wavelet transforms
Wavelet Transform
Signal to noise ratio
Compression
Processing

Cite this

Guzmán, E., Pogrebnyak, O., Yáñez, C., & Moreno, J. A. (2006). Image compression algorithm based on morphological associative memories. In Image compression algorithm based on morphological associative memories (pp. 519-528). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4225 LNCS).
Guzmán, Enrique ; Pogrebnyak, Oleksiy ; Yáñez, Cornelio ; Moreno, José A. / Image compression algorithm based on morphological associative memories. Image compression algorithm based on morphological associative memories. 2006. pp. 519-528 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Guzmán, E, Pogrebnyak, O, Yáñez, C & Moreno, JA 2006, Image compression algorithm based on morphological associative memories. in Image compression algorithm based on morphological associative memories. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4225 LNCS, pp. 519-528, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14.

Image compression algorithm based on morphological associative memories. / Guzmán, Enrique; Pogrebnyak, Oleksiy; Yáñez, Cornelio; Moreno, José A.

Image compression algorithm based on morphological associative memories. 2006. p. 519-528 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4225 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Guzmán E, Pogrebnyak O, Yáñez C, Moreno JA. Image compression algorithm based on morphological associative memories. In Image compression algorithm based on morphological associative memories. 2006. p. 519-528. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).