Retrieval and blur detection of images in mobile display devices using recent technologies

  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/views.module on line 906.
  • strict warning: Declaration of views_handler_argument::init() should be compatible with views_handler::init(&$view, $options) in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/handlers/views_handler_argument.inc on line 744.
  • strict warning: Declaration of views_handler_filter::options_validate() should be compatible with views_handler::options_validate($form, &$form_state) in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/handlers/views_handler_filter.inc on line 607.
  • strict warning: Declaration of views_handler_filter::options_submit() should be compatible with views_handler::options_submit($form, &$form_state) in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/handlers/views_handler_filter.inc on line 607.
  • strict warning: Declaration of views_handler_filter_boolean_operator::value_validate() should be compatible with views_handler_filter::value_validate($form, &$form_state) in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/handlers/views_handler_filter_boolean_operator.inc on line 159.
  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/views.module on line 906.
  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalijdr.com/sites/all/modules/views/views.module on line 906.
Author: 
Srilekha, T. and Preethi, P.
Abstract: 

Images of high (or) super resolution will be good to see. And having excellent clarity in all kinds of devices. Nowadays all mobile displays are not providing the users expecting clarity. Snaps taken from the mobile will be blurred (or) not clear sometimes. Reason for these problems are not using clarity lenses, shaking of mobile while taking snaps. For getting clarity in images first we should consider the pixels of the images. Pixels of an image should be very minute. If the image having very less spilt up in their pixels, then that image will look like blurred. So separation of pixels in images plays an important role here. For considering the pixels we should first use manifold algorithm. It split the images as pixels with good clarity and split as according to their texture also. In contrast to existing methods which train a binary classifier for each keyword, our keyword model is constructed in a straightforward manner by exploring the relationship among all images in the feature space in the learning stage. In relevance feedback, the feedback information can be naturally incorporated to refine the retrieval result by additional propagation processes. In order to speed up the convergence of the query concept, we adopt two active learning schemes to select images during relevance feedback. Furthermore, by means of keyword model update, the system can be self-improved constantly. The updating procedure can be performed on-line during relevance feedback without extra off-line training.

Download PDF: 

CHIEF EDITOR

  

           Prof. Dr. Bilal BİLGİN

Call for Papers - 2017

    submit your paper now

   Vol. 07, Issue 03, March 2017

CURRENT ISSUE

 

Article Tracking

IMPACT FACTOR 2016

          4.753

Get your Certificate

Copyright © 2016 International Journal Development Research. All Rights Reserved.