DocumentCode :
3525968
Title :
A novel sampling scheme for image compression
Author :
Aboukhres, Saleh ; Subramanian, Ganesan
Author_Institution :
Fac. of Eng., 7th of April Univ., Libya
fYear :
2010
fDate :
23-25 June 2010
Firstpage :
1654
Lastpage :
1657
Abstract :
The transform approach of image data compression, as a lossy technique, depends on rejection of redundant coefficients, which are distributed depending on the transform used as well as covariance structure of the processed image. The threshold sampling scheme selects the coefficients above a predefined threshold, while, zonal sampling scheme selects the coefficients inside a predefined geometric zone. In this paper, a new scheme for the zone construction of the selected coefficients is presented, in this procedure, the higher-value coefficients are selected using a mathematical formulation. The experimental results, using a group of transforms are compared with that of the other two sampling schemes employing the same transforms. The comparison demonstrates the effectiveness of this method.
Keywords :
covariance analysis; data compression; image coding; image segmentation; covariance structure; image data compression; lossy technique; mathematical formulation; predefined geometric zone; redundant coefficients rejection; threshold sampling scheme; zonal sampling scheme; Covariance matrix; Discrete cosine transforms; Image coding; Presses; Symmetric matrices; Transform coding; Compression in spectral domain; Fast transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2010 18th Mediterranean Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-8091-3
Type :
conf
DOI :
10.1109/MED.2010.5547809
Filename :
5547809
Link To Document :
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