Lossless compression of Peanoscanned images

Joseph A. Provine; Rangaraj M. Rangayyan

doi:10.1117/12.171928

1 April 1994 Lossless compression of Peanoscanned images

Joseph A. Provine, Rangaraj M. Rangayyan

Author Affiliations +

Journal of Electronic Imaging, Vol. 3, Issue 2, (April 1994). https://doi.org/10.1117/12.171928

Abstract

Peanoscanning was used to obtain the pixels from an image by following a scan path described by a space-filling curve, the Peano-Hilbert curve. The Peanoscanned data were then compressed without loss of information by direct Huffrnan, arithmetic, and Lernpel-Ziv-Welch coding, as well as predictive and transform coding. In our implementation, tested on seven natural images, Peano-differential coding with an entropy coder gave the best results of reversible compression from 8 bits/pixel to about 5 bits/pixel, which was better than predictive coding of equivalent raster-scanned data. An efficient implementation of the Peanoscanning operation based on the symmetry exhibited by the Peano-Hilbert curve is also suggested.

Citation Download Citation

Joseph A. Provine and Rangaraj M. Rangayyan "Lossless compression of Peanoscanned images," Journal of Electronic Imaging 3(2), (1 April 1994). https://doi.org/10.1117/12.171928

Published: 1 April 1994

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available