Guangwei Wang
School of Computer and Information Science, Hubei Engineering University, Xiaogan, 432000, Hubei Province, China
Xinggang Zhang
School of Computer and Information Technology, Nanyang Normal University, Nanyang, 473061, Henan Province, China
Cenggang Xiong
School of Computer and Information Science, Hubei Engineering University, Xiaogan, 432000, Hubei Province, China
Yihua Lan
School of Computer and Information Technology, Nanyang Normal University, Nanyang, 473061, Henan Province, China
ABSTRACT
In this study, we propose a novel non-symmetry and anti-packing image representation model (NAM). NAM is a hierarchical image representation method and its aim is less data amount and faster operation. Based on block-wise LS linear predictor method, a color-coded bit-plane binary image NAM representation method is presented to compress the color image. The compression performance has been further improved. Experimental results show that our compression scheme is clearly better from data compression point of view than other methods.
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How to cite this article
Guangwei Wang, Xinggang Zhang, Cenggang Xiong and Yihua Lan, 2013. A Novel Image Representation Model for Color Image Compression. Journal of Applied Sciences, 13: 2589-2593.
DOI: 10.3923/jas.2013.2589.2593
URL: https://scialert.net/abstract/?doi=jas.2013.2589.2593
DOI: 10.3923/jas.2013.2589.2593
URL: https://scialert.net/abstract/?doi=jas.2013.2589.2593
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