Title :
Image compression using principal component neural network
Author :
Jianxun Mi ; Huang, De-Shuang
Author_Institution :
Inst. of Intelligent Machines, Chinese Acad. of Sci., Beijing, China
Abstract :
This paper presents a comparison of three kinds of principal component neural networks, which are used for image compression. Principal component analysis (PCA), which is a statistical processing technique, is used in many engineering and scientific fields. Application of computing principal components includes data compression, pattern recognition and signal processing, etc. In this paper we use it for image compression.
Keywords :
data compression; image coding; neural nets; principal component analysis; image compression; principal component analysis; principal component neural network; Computer applications; Covariance matrix; Data compression; Data mining; Eigenvalues and eigenfunctions; Electronic mail; Image coding; Machine intelligence; Neural networks; Principal component analysis;
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
DOI :
10.1109/ICARCV.2004.1468912
