Block pattern coding of HVS-based wavelets for image compression

Farhad Keissarian; Mohammad Farhang Daemi

doi:10.1117/12.449772

7 December 2001 Block pattern coding of HVS-based wavelets for image compression

Farhad Keissarian; Mohammad Farhang Daemi;

Author Affiliations +

Proceedings Volume 4472, Applications of Digital Image Processing XXIV; (2001) https://doi.org/10.1117/12.449772
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

In this paper, we present a wavelet-based image compression technique, which incorporates some of the human visual system (HVS) characteristics for the wavelet decomposition and bit allocation of subband images. The wavelet coefficients are coded using a new technique, referred to as Block Pattern Coding algorithm. The proposed technique employs a set of local geometric patterns, which preserve the underlying edge geometries in the high frequency signals at very low coding rates. Critical to the success of our approach is the frequent utilization of a special block pattern, which is a uniform pattern of constant intensity to reproduce image blocks of near constant intensity. A performance comparison with JPEG and HVS-based wavelets using VQ is presented for both moderate and heavy compression.

Citation Download Citation

Farhad Keissarian, Mohammad Farhang Daemi, "Block pattern coding of HVS-based wavelets for image compression", Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449772; https://doi.org/10.1117/12.449772

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years