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