Color Image Compression using Self Organizing Feature Map

B. Diri and S. Albayrak (Turkey)


Image Compression, Color quantization, 1-D Self Organizing Feature Map, Entropy Coding


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 per formed without any loss in the information. Obtained results encourage the use of SOFM for image compres sion.

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