Fast classification scheme for VQ

C. C. Yen; Yukon K. Chang; J. H. Jeng

doi:10.1117/12.452145

21 November 2002 Fast classification scheme for VQ

C. C. Yen, Yukon K. Chang, J. H. Jeng

Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.452145
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

In this paper, a new classification scheme using concentric circles is derived for Vector Quantization (VQ) coder. Two DCT coefficients of each image block are used to compute the radius (r) and angle (θ) in the polar coordinate. A classification scheme consisting of a total of 65 classes is implemented according to the values of r and θ, and is called 65-classes Concentric Circle Classified VQ (65-CCCVQ). Simulation results show that using 65-CCCVQ, the compression speed is much faster than the original VQ algorithm while maintaining similar image quality.

Citation Download Citation

C. C. Yen, Yukon K. Chang, and J. H. Jeng "Fast classification scheme for VQ", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.452145

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