Image Compression Based on Generalized Principal Components Analysis and Simulated Annealing

The authors propose a new data dimensionality reduction method that is formulated as an optimization problem solved in two stages. In the first stage, Generalized Principal Component Analysis (GPCA) is used to find a solution with local maximum (local solution) whereas the algorithm Simulated Anneal...

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Veröffentlicht in:	International journal of cognitive informatics & natural intelligence 2012-04, Vol.6 (2), p.41-67
Hauptverfasser:	Santo, Rafael Do Espírito, Pereira, Fabio Henrique, Júnior, Edson Amaro
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compressed Compressing Compressors Data compression Image compression Image contrast Image processing Medical imaging Methods Optimization Principal component analysis Principal components analysis Simulated annealing Simulated annealing (Mathematics) Simulation Stores
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