KEYWORDS: Image compression, Discrete wavelet transforms, Wavelet transforms, Wavelets, Image processing, Image quality, 3D image processing, Signal to noise ratio, Signal processing, Data storage
The paper proposes a combination of DCT and the Dual-Tree Discrete Wavelet Transform (DDWT) to solve the
problems in multi-spectral image data storage and transmission. The proposed method not only removes spectral
redundancy by1D DCT, but also removes spatial redundancy by 2D Dual-Tree Discrete Wavelet Transform. Therefore,
it achieves low distortion under the conditions of high compression and high-quality reconstruction of the multi-spectral
image. Tested by DCT, Haar and DDWT, the results show that the proposed method eliminates the blocking effect of
wavelet and has strong visual sense and smooth image, which means the superiors with DDWT has more prominent
quality of reconstruction and less noise.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.