PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
2017 ITE Winter Annual Convention
Session ID : 13A-3
Conference information

Optimal lossless image compression under the Bayes criterion for explicitly described generative models
*Yuta NAKAHARAToshiyasu MATSUSHIMA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

In this study, we describe generative models of images as stochastic models by looking at the previous studies such as predictive coding from different point of view. Then we construct lossless image compression which is optimal under the Bayes criterion for the generative models, and consider its properties.

Content from these authors
© 2017 The Institute of Image Information and Television Engineers
Previous article Next article
feedback
Top