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

Multiple interpretations by using pixel resonance concept

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 $31
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

5 Author(s)
Chi-Wen Hsieh ; Dept. of Electr. Eng., Nat. Chiayi Univ., Chiayi, Taiwan ; Chih-Yen Chen ; Chui-Mei Tiu ; Tai-Lang Jong
more authors

Human vision is highly sensitive to perceive the contrast for interpreting images, so that the neurons of the brain will be excited to make recognition of the surroundings. In this study, the test patterns were inspired to reach the neurons excitation via the proposed pixel resonance concept, and then the quantum concept of physics was employed with random walk behaviour to analyse the test patterns for multiple interpretations. In simulation, similar alphabetic letters (C, O) and Chinese characters (?, ?) are selected. Subsequently, various extents of noise are added including the different mean values and related standard deviations for the two test patterns. The results showed that the corresponding resonance maps with various morphologies can generate multiple resonance outputs. Furthermore, the simulation results indicated that the peak signal-to-noise ratio curves match those of the resonance maps perceived by using human vision. Based on this approach, it is concluded that the proposed pixel resonance algorithm can effectively simulate the multiple interpretations of the human vision system. Further, a novel physical model was presented to generate multi-output patterns for a single image.

Published in:

Image Processing, IET  (Volume:7 ,  Issue: 4 )

Date of Publication:

June 2013

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.