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     Research Journal of Applied Sciences, Engineering and Technology


Review on Lossless Image Compression Techniques for Welding Radiographic Images

1B. Venkatraman, 2V. Vaithiyanathan and 2B. Karthikeyan
1RESG, IGCAR, Kalpakkam, India-603102
2School of Computing, SASTRA University, Thanjavur, India-613401
Research Journal of Applied Sciences, Engineering and Technology  2013  1:167-170
http://dx.doi.org/10.19026/rjaset.5.5099  |  © The Author(s) 2013
Received: May 06, 2012  |  Accepted: June 08, 2012  |  Published: January 01, 2013

Abstract

Recent development in image processing allows us to apply it in different domains. Radiography image of weld joint is one area where image processing techniques can be applied. It can be used to identify the quality of the weld joint. For this the image has to be stored and processed later in the labs. In order to optimize the use of disk space compression is required. The aim of this study is to find a suitable and efficient lossless compression technique for radiographic weld images. Image compression is a technique by which the amount of data required to represent information is reduced. Hence image compression is effectively carried out by removing the redundant data. This study compares different ways of compressing the radiography images using combinations of different lossless compression techniques like RLE, Huffman.

Keywords:

Bit plane, gray code, huffman, image compression, radiography images, RLE,


References


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.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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