Y. Huang, Z. Yu. Self-Organizing Neural Network Domain Classification for Fractal Image Coding. China Universities Of Posts And Telecommunications, 6:54-58, 1999.
This paper presents a scheme for improving encoding time for fractal image compression. The approach combines feature extraction with domain classification using a self-organizing neural network. Feature extraction reduces the dimensionality of the problem and enables the neural network to be trained on an image separate from the test image. The self organizing network introduces a neighborhood topology for classification, and also eliminates the need to specify a prior set of appropriate image classes. The network organizes itself according to the distribution of the image features observed during the training. The paper presents results showing that this classification approach can reduce encoding time by two orders of magnitude while maintaining comparable accuracy and compressionperformance.
@article{HuYu99,
Author = {Huang, Y. and Yu, Z.},
Title = {Self-Organizing Neural Network Domain Classification for Fractal Image Coding},
Journal = {China Universities Of Posts And Telecommunications},
Volume = {6},
Pages = {54--58},
Publisher = {Journal-China Universities Of Posts And Telecommunications},
Year = {1999}
}
(Plagiat of an article from S. Welstead)