Hyperspectral image compression using SPIHT based on DCT and DWT

Haiping Wei; Baojun Zhao; Peikun He

doi:10.1117/12.747874

15 November 2007 Hyperspectral image compression using SPIHT based on DCT and DWT

Haiping Wei, Baojun Zhao, Peikun He

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870H (2007) https://doi.org/10.1117/12.747874
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, an algorithm for hyperspectral image compression is presented. It carries DCT (Discrete Cosine Transform) on spectral bands to exploit the spectral correlation and then DWT (Discrete Wavelet Transform) on every eigen image to exploit the spatial correlation. After that, 3D-SPIHT (three-dimensional Set Partitioning in Hierarchical Trees) is performed for encoding. Experiments were done on the OMIS-I (Operational Modular Imaging Spectrometer) image and the performance of this algorithm was compared with that of 2D-SPIHT. The results show that the performance of 3D-SPIHT based on DCT and DWT is much better than that of 2D-SPIHT and the quality of the reconstructed images is satisfying.

Citation Download Citation

Haiping Wei, Baojun Zhao, and Peikun He "Hyperspectral image compression using SPIHT based on DCT and DWT", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870H (15 November 2007); https://doi.org/10.1117/12.747874

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