By Topic

Low bit rate image coding technique using human visual system model and homomorphic processing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ho, L.K. ; Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong ; Ng, T.S.

A low bit rate image coding scheme which incorporates the homomorphic property of an image, transform coding, vector quantization and the human visual system model is described. Experimental results indicate that reasonably good reconstructed images are obtained at around 0.2 to 0.25 bits per pixel dependent on the nature of the images.<>

Published in:

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on  (Volume:3 )

Date of Conference:

19-21 Oct. 1993