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.
Keywords
Artificial intelligence
Computer science
Computer vision
Color quantization
Image compression
Pattern recognition (psychology)
Quantization (signal processing)
Data compression
Entropy encoding
Feature (linguistics)
Color image
Image processing
Image (mathematics)
Subject Areas
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Advanced Data Compression Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
Image and Signal Denoising Methods
·Computer Vision and Pattern Recognition ·Physical Sciences
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