NDLI: PCA image coding with iterative clustering

Content Provider	Springer Nature Link
Author	Wang, Chih Wen Yang, Wei Sheng Jeng, Jyh Horng Hsieh, Jer Guang
Copyright Year	2015
Abstract	Cluster analysis divides the data into groups of individuals that are homogeneous and separated from other groups. In consideration of the homogeneity, principal component analysis is usually used to reduce the redundancy of storages inside each cluster through the projection of data based on the principal components. Such data reduction is applied in this paper to images to achieve image compression. Moreover, genetic algorithm is employed in this study to determine the optimal number of components that preserve most of the information of the original data. Based on this mechanism, we develop an iterative clustering method for image coding. The proposed method effectively removes the coding redundancy and increases the number of principal components in some clusters in order to improve the reconstructed effect of certain clusters with complex structures. Consequently, the retrieved image has high quality and good visual effect.
Starting Page	647
Ending Page	666
Page Count	20
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	27
Issue Number	3
e-ISSN	15730824
Language	English
Publisher	Springer US
Publisher Date	2015-08-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cluster analysis Genetic algorithm k-means clustering Principal component analysis Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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