Research Article | OPEN ACCESS
A Fast EZW Food Packaging Encoding and Decoding Algorithm Using Linear Indexing Technology Applied in Food Packaging Graphics
1Lingxia Liu, 2Xiaojing Wang and 3Qiang Song
1College of Software Engineering, Anyang Normal University
2College of Mechanical Engineering, Anyang Institute of Technology
3College of Computer and Information Engineering, Anyang Institute of Technology, Anyang, 455000, China
Advance Journal of Food Science and Technology 2015 9:727-729
Received: April 14, 2015 | Accepted: May 10, 2015 | Published: September 15, 2015
Abstract
In order to find effective coding method, as much as possible eliminate the redundant information of original food packaging image and improve food packaging image compression efficiency, a kind of fast EZW food packaging encoding and decoding algorithm using linear indexing technique is proposed in this study. This kind of algorithm encodes and scans the linear sequence coefficients, which only needs less location information and improves the food packaging encoding and decoding speed to a certain degree, thus realizing a linear indexing technique similar to that in the non-linked list SPIHT. If the creation of linear sequence is placed before the coding of a group of food packaging images, then only the linear sequence is created once, the coding of these food packaging images can be implemented, so as to save a lot of coding time.
Keywords:
Decoding, EZW algorithm, food packaging encoding, linear indexing technique, two-dimensional scan,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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