UGC APPROVED JOURNAL

     

CATEGORIES

CERTIFICATE

COPYRIGHT AGREEMENT

 

Browse by Subject

  • Agricultural Sciences
  • Biology and Life Sciences
  • Chemistry & Chemical Engineering
  • Medicine, Health & Food
  • Physics
  • Materials Science
  • Mathematics & Statistics
  • Electrical & Computer Science
  • Earth, Energy & Environment
  • Architecture & Civil Engineering
  • Transportation & Logistics
  • Engineering & Technology
  • Economics & Management
  • Education
  • Social Sciences & Psychology
  • Arts, Literature & Linguistics

 

Detection and removal of high density salt and pepper noise from images

  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalajst.com/sites/all/modules/views/views.module on line 906.
  • 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/journalajst.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/journalajst.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/journalajst.com/sites/all/modules/views/handlers/views_handler_filter_boolean_operator.inc on line 159.
  • strict warning: Declaration of views_plugin_row::options_validate() should be compatible with views_plugin::options_validate(&$form, &$form_state) in /home4/vibu/public_html/journalajst.com/sites/all/modules/views/plugins/views_plugin_row.inc on line 134.
  • strict warning: Declaration of views_plugin_row::options_submit() should be compatible with views_plugin::options_submit(&$form, &$form_state) in /home4/vibu/public_html/journalajst.com/sites/all/modules/views/plugins/views_plugin_row.inc on line 134.
  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalajst.com/sites/all/modules/views/views.module on line 906.
  • strict warning: Declaration of views_plugin_style_default::options() should be compatible with views_object::options() in /home4/vibu/public_html/journalajst.com/sites/all/modules/views/plugins/views_plugin_style_default.inc on line 24.
  • strict warning: Non-static method view::load() should not be called statically in /home4/vibu/public_html/journalajst.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/journalajst.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/journalajst.com/sites/all/modules/views/handlers/views_handler_argument.inc on line 744.
Author: 
Sathya Jose, S.L. and Dr. Sivaraman, K.
Abstract: 

Noise is any unwanted component in an image. It is important to eliminate noise in the images before some subsequent processing, such as edge detection, image segmentation and object recognition. This work mainly concentrates on automatic detection and efficient removal of impulse (salt and pepper) noise. For automatic detection of impulse noise, a method based on probability density function is proposed. The basic idea of automatic detection is that the difference between the probabilities of black and white pixels will be small. After detecting the presence of impulse noise in an image, we have to remove that noise. For the removal of impulse noise a new efficient impulse noise removal method (Modified SDROM filter) is proposed. The Modified SDROM consists of two parts 1) Impulse detector and 2) Filter. The results show that this method has higher performance than other methods in terms of PSNR values and SSIM-Index values.

EDITOR-IN-CHIEF

 

               Prof. Dr. ISMAIL YILDIRIM

CALL FOR PAPERS

CURRENT ISSUE

 

IMPACT FACTOR CERTIFICATE