A unified framework for image compression and segmentation by using an incremental neural network
Expert Systems with Applications: An International Journal
Vector quantization of images with variable block size
Applied Soft Computing
Medical image compression using topology-preserving neural networks
Engineering Applications of Artificial Intelligence
Image compression by vector quantization with recurrent discrete networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Compression of medical images by using artificial neural networks
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
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The nonlinear principal component analysis (NLPCA) method is combined with vector quantization for the coding of images. The NLPCA is realized using the backpropagation neural network (NN), while vector quantization is performed using the learning vector quantizer (LVQ) NN. The effects of quantization in the quality of the reconstructed images are then compensated by using a novel codebook vector optimization procedure