A Review of Lossless image Compression for Medical Images with Hoffman Encoding and Differential Pulse Code Modulation (DPCM)
Author & Affiliation:
RESHU JAIN (reshuam8421@gmail.com)
LNCTE, Bhopal (M.P) (India)
RAJNI KORI
LNCTE, Bhopal (M.P) (India)
SHIV KUMAR SAHU
LNCTE, Bhopal (M.P) (India)
Keyword:
EDPCM, Compression Ratio (CR), Encoding Techniques
Issue Date:
July 2017
Abstract:
Image processing modifies pictures to improve, extract information and change their structure (composition, image editing and image compression etc.). Image can be processed by optical, photographic and electronic means, but image processing using digital computers are the most common methods because digital methods are fast, flexible and precise. Image Compression- reducing the redundancy in the image data to optimize transmission / storage. This paper outlines the different types of image compression and lastly we compare the Differential Pulse Code Modulation (DPCM).
Pages:
26-29
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:
http://dx.doi.org/10.22147/jucit/080401
Copy the following to cite this article:
R. Jain; R. Kori; S. K. Sahu, "A Review of Lossless image Compression for Medical Images with Hoffman Encoding and Differential Pulse Code Modulation (DPCM)", Journal of Computer & Information Technology, Volume 8, Issue 4, Page Number 26-29, 2017Copy the following to cite this URL:
R. Jain; R. Kori; S. K. Sahu, "A Review of Lossless image Compression for Medical Images with Hoffman Encoding and Differential Pulse Code Modulation (DPCM)", Journal of Computer & Information Technology, Volume 8, Issue 4, Page Number 26-29, 2017
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
