A Survey on Various Medical Image Compression Techniques
Alagendran B1, Manimurugan S2
1Alagendran .B, PG Research Scholar,Image Processing Group,Karunya University,Coimbatore,India.
2Manimurugan.S, Assistant Professor,Dept of Computer Science and Technology, Karunya University,Coimbatore,India.
Manuscript received on March 01, 2012. | Revised Manuscript received on March 04, 2012. | Manuscript published on March 05, 2012. | PP: 425-428 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0472022112/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Medical images are much important in the field of medicine ,all these medical images are need to be stored for future reference of the patients and their hospital findings hence, the medical image need to undergo the process of compression before storing it. On these days of medical advancement there exist many compression techniques. This paper investigates mainly on the various types of medical image compression techniques that are existing, and putting it all together for a literature survey. Scope of this study focuses on the different available medical image compression techniques with their performance results.
Keywords: Discrete Cosine Transform, Discrete Wavelet Transform, Medical Image Compression, Set Partitioning in Hierarchical Trees.