Image Compression and Feature Extraction with Neural Network
نویسنده
چکیده
The need to transmit data over Internet is increasing at a very fast pace, which requires techniques that can considerably reduce the size of images so that they occupy less space and bandwidth for transmission. In this paper, we have used Kohonen’s self organizing map (SOM) network, which is a class of neural networks, for image compression and feature extraction. Moreover, a global processing technique is used for training the Kohonen’s network that can considerably, reduce the size of images. JPEG images were used for the experimentation.
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