Image Compression Techniques-A Comparative Study

Authors

  • Amanpreet Kaur

Abstract

Abstract

Digital images are required to store a large among of storage space in digital computers. Nowadays, computer system is very capable to process digital images with high resolution quite easily. The transmission of huge data needs more time to transfer over network channel. Thus, time and space are two fundamental components of computing.  In the field of digital image processing, image compression is one of the most popular and commercially successful technologies, which compressed the size of data according to express a given quality of information. In addition to, digital images store three type of information such as redundant, useful and irrelevant. In this paper, various compression techniques have been discussed. Image compression techniques are divided into two categories such as lossless and lossy image compression. Both techniques have been discussed with suitable examples and block diagrams.

Keywords: Image compression, Lossless, lossy, JPEG.

Cite this Article

Amanpreet Kaur. Image Compression Techniques: A Comparative Study. Journal of Artificial Intelligence Research & Advances. 2019; 6(2): 82–87p.


Downloads

Published

2019-07-19

Issue

Vol. 6 No. 2 (2019)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.