GET LATEST IEEE PROJECTS TITLES

Name
Email
Mobile
Technology
College Name
Department
Degree
Comments

Sparse Bayesian Learning of Filters for Efficient Image Expansion

Technology Used: Dot Net

2010

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned  interpolators are compact yet superior to classical ones.

Posted by on May 11th, 2011 and filed under image processing. You can follow any responses to this entry through the RSS 2.0. You can leave a response by filling following comment form or trackback to this entry from your site

4 Responses for “Sparse Bayesian Learning of Filters for Efficient Image Expansion”

  1. pratham says:

    i want this project

  2. supreeta says:

    can u please elaborate and explain it what actually it is….. i needed it for my final year project..

  3. kunche says:

    send full project Sparse Bayesian Learning of Filters for Efficient Image Expansion with document and ppts to my mail

  4. suji says:

    can u please elaborate this for my final year project

Leave a Reply