Cart (Loading....) | Create Account
Close category search window
 

Image compression: Wavelet transform using radial basis function (RBF) neural network

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)

Image compression is the technique of reducing the size of the image file without degrading the quality of the image. The compression in file size permits more images to be stored in the available amount of memory space. It also decreases the time needed for images to be uploaded over the Internet or downloaded from it. There are many techniques available in the lossy image compression, in which wavelet transform based image compression is the best technique. Vector Quantization (VQ) is the most powerful tool for image compression. One of the major steps in the Vector Quantization is the generation of the code book. In this proposed approach, a popular neural network technique called Radial Basis Function (RBF) approach is used to generate the code book. A combined approach of image compression based on vector quantization and wavelet transform is proposed using RBF neural network. This approach will be very helpful for medical imaging, criminal investigation where high precision reconstructed image is required. The experimental result shows that the proposed technique provides better PSNR value and also reduces the Mean Square Error value.

Published in:

India Conference (INDICON), 2012 Annual IEEE

Date of Conference:

7-9 Dec. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.