J Jiang, "Image compression with neural networks -- a survey", Signal Processing: Image Communication 14, 1999. Home/Search Document Details and Download
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Error Concealment Using Adaptive Multilayer Perceptrons (MLPs) .. - Huang, Chang (2000) (Correct)
....EC algorithm to solve the cell loss problem for all block based image coding systems, by using Spatial Predictive Concealment (SPC) techniques. Artificial neural network techniques have been applied to solve complex problems in the fields of image processing [11 13] and image compression [14 16]. Among the numerous neural networks, the multilayer perceptron (MLP) network is a particularly efficient model for classification and prediction problems. Moreover, the MLP network is able to extract higher order statistics by adding one or more hidden layers. The use of hidden neurons is ....
Jiang J. Image compression with neural networks-A survey. Signal Processing: Image Commun 1999; 14: 737--760
Genetic Vector Quantisation For Digital Image Compression - Armstrong, Jiang (2002) Self-citation (Jiang) (Correct)
....are still the closest competitor in terms of the nature of their operations [6] which are mainly insp ired by the processing structure of the human brain. An adaptive learning phase is usually requi red to train the network prior to its use. A number of neural networks exist; Jiang (1999) [7] describes many Neural Network variants for image compression, among which the competitive l earning model can be regarded as the most important foundation for all neural networks applied to image compression. As in all Neural Networks, the competitive learning network contains neurones, ....
J Jiang, "Image compression with neural networks -- a survey", Signal Processing: Image Communication 14, 1999.
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