DocumentCode
2945541
Title
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases
Author
Hou, Xin ; Gurumoorthy, Karthik S. ; Rajwade, Ajit
Author_Institution
Dept. of CE, Univ. of Florida, Gainesville, FL, USA
fYear
2011
fDate
29-31 March 2011
Firstpage
458
Lastpage
458
Abstract
Summary form only given. We present efficient machine learning methods for color image compression which simultaneously learn bases for compact image representation as well as the color space. We show the benefits of representing color image patches as 2D matrices of size n × 3n rather than as 3D patches of size n × n × 3. We also present a method to leverage greater representational power from a learned dictionary without increasing its size.
Keywords
data compression; image coding; image colour analysis; image representation; learning (artificial intelligence); 2D matrix; color image compression; color image patche; image representation; machine learning; orthonormal base; Color; Dictionaries; Image coding; Image color analysis; Image representation; Sparse matrices; Three dimensional displays; color image compression; color space; machine learning; orthonormal bases;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2011
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-61284-279-0
Type
conf
DOI
10.1109/DCC.2011.62
Filename
5749515
Link To Document