Color image compression using self organizing feature map

Authors:
Banu Diri;Songul Albayrak
Affiliations:
Yildiz Technical University, Department of Computer Engineering, Besiktas, Istanbul, Turkey;Yildiz Technical University, Department of Computer Engineering, Besiktas, Istanbul, Turkey
Venue:
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Year:
2006

Citing 9
Cited 0

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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.