Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-416X
Online ISSN:
0976-4178


  About IJCLR
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
Journal of Multimedia Processing and Technologies (JMPT)
International Journal of Web Application (IJWA)

 

 
International Journal of Computational Linguistics Research
 

 

Parameter Keys Kernel and Did the Optimization Using the Spectral Domain
Nataša Savic, Zoran Milivojevic, Zoran Velickovic, Darko Brodic
Technical Sciences kernel suggested in [7] Niš, Aleksandra Medvedeva 20, Niš 18000, Serbia natasa.savic@vtsnis.edu.rs ., College of Applied Technical Sciences Niš Aleksandra Medvedeva 20, Niš 18000, Serbia zoran.milivojevic@vtsnis.edu.rs ., Technical
Abstract: In this work, we have presented the optimization of the parameters of two-parameter Keys kernel and did the Optimization using the spectral domain. The optimization criterion is the condition that the amplitude characteristic is a good approximation of the amplitude characteristic of the ideal interpolation kernel of the form sinx/x. Further, the work presented the experimentally determined optimal value of the kernel parameters using signals.
Keywords: Technical Sciences kernel suggested in [7] Niš, Aleksandra Medvedeva 20, Niš 18000, Serbia ., College of Applied Technical Sciences Niš Aleksandra Medvedeva 20, Niš 18000, Serbia ., Technical Sciences Niš Aleksandra Medvedeva 20, Niš 18000, Serbia . Parameter Keys Kernel and Did the Optimization Using the Spectral Domain
DOI:https://doi.org/10.6025/jcl/2022/13/1/15-22
Full_Text   PDF 2.28 MB   Download:   144  times
References:

[1] Meijering, E., Unser, M. (2003). A Note on Cubic Convolution Interpolation, IEEE Transactions on Image Processing, 12 (4) 447-479, April.
[2] Pang, H. S., Baek, S.J., Sung, K.M. (2000). Improved Fundamental Frequency Estimation Using Parametric Cubic Convolution, IEICE Trans. Fundamentals, E83-A (12) 2747-2750, December.
[3] Reicherbach, S. E. (2003). Two-Dimensional Cubic Convolution, IEEE Trans. Image Processing, 12 (8) 857-865, August.
[4] Keys, R. G. (1981). Cubic convolution interpolation for digital image processing, IEEE Trans. Acout. Speech, & Signal Processing, volume ASSP-29, 1153-1160, December.
[5] Park, K. S., Schowengerdt, R. A. (1983). Image reconstruction by parametric cubic convolution, Computer Vision, Graphics & Image Process., 23, 258-272.
[6] Park, K. S., Schowengerdt, R. A. (1983). Image reconstruction by parametric cubic convolution, Computer Vision, Graphics & Image Process., 23, 258-272.
[7] Mejering, E., Zuiderveld, K., Viegever, M. (1999). Image Reconstruction by Convolution with Simetrical Piecewise nth- Order Polynomial Kernels, IEEE Transactions on Image Processing, 8 (2) 192-201, February.
[8] Hanssen, R., Bamler, R. (1999). Evaluation of Interpolation Kernels for SAR Interferometry, IEEE Transactions on Geoscience and Remote Sensing, 37 (1) 318-321, January.
[9] Milivojevic, Z., Savic, D. Brodic, P. Rajkovic. (2016). Optimizacija parametara Kejsovog dvoparametarskog konvolucionog jezgra u spektralnom domenu, XV Internacional Scientific-Professional Symposium INFOTEH-Jahorina.


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info