COMPRESSION OF GRAYSCALE IMAGE USING KSOFM NEURAL NETWORK
Y Savant, Lalita Sunil Admuthe · 2013
Computer technology to human needs that touch every aspect of life, ranging from household appliances to robots for the expedition in space. The development of Internet and multimedia technologies that grow exponentially, resulting in the amount of information managed by computer is necessary. This causes serious problems in storage and transmission image data. Therefore, should be considered a way to compress data so that the storage capacity required will be smaller. The emergence of artificial neural networks in image processing has led to improvements in image compression. In this paper we have discussed method for image compression based on well known KSOFM (Kohonen’s self organizing feature map) neural network.