Article

Color image compression using self organizing feature map

Authors:

Banu Diri,

Songul AlbayrakAuthors Info & Claims

AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applications

Pages 162 - 166

Published: 13 February 2006 Publication History

Abstract

This paper presents a compression scheme for color images, by using Self-Organizing Feature Map (SOFM) algorithm, which is a neural network structure. In this application 1-dimensional SOFM is used to map 256-color to 64-, 32-and 16-color. After the quantization process, relative coding and entropy coding are performed without any loss in the information. Obtained results encourage the use of SOFM for image compression.

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Published In

AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applications

February 2006

512 pages

ISBN:0889865566

Editor:
V. Deved

Publisher

ACTA Press

United States

Publication History

Published: 13 February 2006

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Image compression using self-organizing maps

Effective palette indexing for image compression using self-organization of Kohonen feature map

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Image compression using self-organizing maps

Effective palette indexing for image compression using self-organization of Kohonen feature map

Lossless compression of color mosaic images

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