Image compression using PCA with clustering

  title={Image compression using PCA with clustering},
  author={Chih-Wen Wang and Jyh-Horng Jeng},
  journal={2012 International Symposium on Intelligent Signal Processing and Communications Systems},
Principal component analysis (PCA), a statistical processing technique, transforms the data set into a lower dimensional feature space, yet retain most of the intrinsic information content of the original data. In this paper, we apply PCA for image compression. In the PCA computation, we adopt the neural network architecture in which the synaptic weights, served as the principal components, are trained through generalized Hebbian algorithm (GHA). Moreover, we partition the training set into… CONTINUE READING
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