Cart (Loading....) | Create Account
Close category search window
 

Development of a near lossless image compression technique using mixed transforms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ramaswamy, A. ; Vela Res. Inst, St. Petersburg, FL, USA ; Mikhael, W.B.

A lossless compression scheme for images is presented in this paper employing mixed transforms. First, the mixed transforms technique is applied to compress images in a lossy manner. The image is represented employing subsets of basis functions of two or more transforms. The coefficients are quantized and the image is reconstructed. The resulting reconstructed image samples are rounded to the nearest integer and the modified residual error is computed. This error is transmitted employing a lossless technique such as Huffman coding. It is shown that for a given number of retained coefficients, the mixed transform representation produces a smaller Root Mean Square Residual Error as compared to employing the DCT alone. Also, it is shown that the first order entropy of the error is smaller for the mixed transforms technique than for the DCT, thus resulting in smaller length Huffman codes

Published in:

Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on  (Volume:2 )

Date of Conference:

30 Apr-3 May 1995

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.