Wavelet-based image compression using classified interpolative vector quantization

M. Bi; Sim Heng Ong; Yew Hock Ang

doi:10.1117/1.1483085

1 July 2002 Wavelet-based image compression using classified interpolative vector quantization

M. Bi, Sim Heng Ong, Yew Hock Ang

Optical Engineering, Vol. 41, Issue 7, (July 2002). https://doi.org/10.1117/1.1483085

A new method of nonlinear interpolative vector quantization for wavelet-transform image coding is proposed. Training and quantization are carried out by classifying the coefficient vectors in the wavelet- transform domain according to their directional activity energy. A product codebook is used during encoding and decoding to allocate bit assignments among these classes adaptively. Compared to the conventional interpolative vector quantization technique, the new method gives superior compression performance and also reduces the complexity of codebook training and quantization. The PSNR improvement is about 1 dB at the compression ratio of 50.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

M. Bi, Sim Heng Ong, and Yew Hock Ang "Wavelet-based image compression using classified interpolative vector quantization," Optical Engineering 41(7), (1 July 2002). https://doi.org/10.1117/1.1483085

Published: 1 July 2002

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