Hierarchical weighted vector quantization (HWVQ) for embedded wavelet coding

Ioannis Katsavounidis; C.-C. Jay Kuo

doi:10.1117/12.233270

27 February 1996 Hierarchical weighted vector quantization (HWVQ) for embedded wavelet coding

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233270
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

We propose a coding scheme that performs vector quantization (VQ) of the wavelet transform coefficients of an image. The proposed scheme uses different vector dimensions for different wavelet subbands and also different codebook sizes so that more bits are assigned to those subbands that have more energy. Another element of the proposed method is that the vector codebooks used are obtained recursively from the image that is to be compressed. By ordering the bit-stream properly, we can maintain the embedding property, since the wavelet coefficients are ordered according to their energy. Preliminary numerical experiments are presented to demonstrate the performance of the proposed method.

Citation Download Citation

Ioannis Katsavounidis and C.-C. Jay Kuo "Hierarchical weighted vector quantization (HWVQ) for embedded wavelet coding", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233270

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