Share Email Print

Proceedings Paper

Proposal for multispectral image compression methods
Author(s): Aniati Murni; Sani Muhamad Isa; Febriliyan Samopa
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper has proposed two image compression and decompression schemes for multispectral images. Two issues were considered in the proposed methods. The first issue is the possibility of applying the compression process directly to a set of multispectral images, where the standard JPEG should be applied to each individual image. Considering this issue, a compression and decompression method is proposed based on a hybrid of lower bit suppression and Karhunen-Loeve transform and named as KLT Hybrid. The second issue is the possibility of obtaining a general codebook for a bulky of typical data such as a set of hyperspectral images. Considering this issue, another compression and decompression method is proposed based on vector quantization (VQ) where the general codebook is obtained by a proposed fair-share amount method. Four performance indicators were used to evaluate the results. The indicators include compression ratio, root mean square error, maximum absolute error, and signal to noise ratio. The experimental results have shown good performance indication of both methods.

Paper Details

Date Published: 26 September 2001
PDF: 5 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442926
Show Author Affiliations
Aniati Murni, Univ. of Indonesia (Indonesia)
Sani Muhamad Isa, Univ. of Indonesia (Indonesia)
Febriliyan Samopa, Univ. of Indonesia (Indonesia)

Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies
Jun Tian; Tieniu Tan; Liangpei Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top