Share Email Print
cover

Proceedings Paper

DCT-based scheme for lossless image compression
Author(s): Giridhar D. Mandyam; Nasir U. Ahmed; Neeraj Magotra
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a new method to achieve lossless compression of 2D images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high energy DCT coefficients in each block, finds an inverse DCT from only these quantized coefficients, and forms an error residual sequence to be coded. Furthermore, a simple delta modulation scheme is performed on the coefficients that exploits correlation between high energy DCT coefficients in neighboring blocks of an image. The resulting sequence is compressed by using an entropy coder, and simulations show the results to be promising and more effective than just simply performing entropy coding on original raw image data.

Paper Details

Date Published: 17 April 1995
PDF: 5 pages
Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); doi: 10.1117/12.206386
Show Author Affiliations
Giridhar D. Mandyam, Univ. of New Mexico (United States)
Nasir U. Ahmed, Univ. of New Mexico (United States)
Neeraj Magotra, Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 2419:
Digital Video Compression: Algorithms and Technologies 1995
Arturo A. Rodriguez; Robert J. Safranek; Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top