Hyperspectral image compression using 3D discrete cosine transform and entropy-constrained trellis-coded quantization

Glen P. Abousleman; Michael W. Marcellin; Bobby R. Hunt

doi:10.1117/12.179774

8 July 1994 Hyperspectral image compression using 3D discrete cosine transform and entropy-constrained trellis-coded quantization

Glen P. Abousleman, Michael W. Marcellin, Bobby R. Hunt

Author Affiliations +

Proceedings Volume 2231, Algorithms for Multispectral and Hyperspectral Imagery; (1994) https://doi.org/10.1117/12.179774
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A system is presented for compression of hyperspectral imagery which utilizes trellis coded quantization (TCQ). Specifically, TCQ is used to encode transform coefficients resulting from the application of an 8X8X8 discrete cosine transform. Side information and rate allocation strategies are discussed. Entropy-constrained codebooks are designed using a modified version of the generalized Lloyd algorithm. This entropy constrained system achieves a compression ratio of greater than 70:1 with an average PSNR of the coded hyperspectral sequence exceeding 40.5 dB.

Citation Download Citation

Glen P. Abousleman, Michael W. Marcellin, and Bobby R. Hunt "Hyperspectral image compression using 3D discrete cosine transform and entropy-constrained trellis-coded quantization", Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); https://doi.org/10.1117/12.179774

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