New Approach for Text Based Image Compression

Authors(2) :-B. Lakshmi Priya, Dr.S.S.Dhenakaran

The world is governed by internet and people’s most of their work are depending on Internet For authentication, images are most used for currency transactions. So everywhere images are used and occupy more spaces for storage. Preserve more images is becoming essential in future trends. To achieve space domination by images ,image compression is vital. Though there are several image compression techniques available, improvement over existing methods are welcome. In an attempt to improve ratio of image compression, a novice approach is tried. The proposed methodology first compresses the given image and compressed image is then transformed into ASCII file based on the pixel values. Then text compression is applied to string the size of the text file. Again the reduced text file is reverted to pixel file using ASCII character values. Finally, a compressed image is generated targeting the size of file small. The experimental result of the proposed work is achieving the intended goal.

Authors and Affiliations

B. Lakshmi Priya
M.Phil, scholar Department of Computer Science, Alagappa University, Karaikudi, Tamilnadu, India
Dr.S.S.Dhenakaran
Professor, Department of Computer Science, Alagappa University, Karaikudi, Tamilnadu, India

JPEG image, Text Compression, Image Compression , ASCII Set, Pixel Extraction.

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 489-493
Manuscript Number : IJSRST1848101
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

B. Lakshmi Priya, Dr.S.S.Dhenakaran, " New Approach for Text Based Image Compression", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 8, pp.489-493, May-June-2018.
Journal URL : https://ijsrst.com/IJSRST1848101
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