We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

FPGA based Implementation of Image Quality Measures: A Comprehensive Approach

by Sarmad F. Ismael, Yahya T. Qassim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 4
Year of Publication: 2017
Authors: Sarmad F. Ismael, Yahya T. Qassim
10.5120/ijca2017915590

Sarmad F. Ismael, Yahya T. Qassim . FPGA based Implementation of Image Quality Measures: A Comprehensive Approach. International Journal of Computer Applications. 176, 4 ( Oct 2017), 42-46. DOI=10.5120/ijca2017915590

@article{ 10.5120/ijca2017915590,
author = { Sarmad F. Ismael, Yahya T. Qassim },
title = { FPGA based Implementation of Image Quality Measures: A Comprehensive Approach },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 4 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number4/28544-2017915590/ },
doi = { 10.5120/ijca2017915590 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:40.522812+05:30
%A Sarmad F. Ismael
%A Yahya T. Qassim
%T FPGA based Implementation of Image Quality Measures: A Comprehensive Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 4
%P 42-46
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the design and implementation of six Image quality measures used to investigate the similarity between reconstructed images (after Denoising process) and the original ones on Spartan 3E XC3S500E FPGA. Since the visual comparison is too subjective, objective measure of image quality is required. The objective measure takes advantage of the variance in the statistical distribution of the coefficients in the image. The designed architecture was tested using five gray scale (128 x 128) images and it runs properly at a maximum clock rate of 70.74 MHz. By employing a parallel architecture, the speed performance has increased to 1064 times in comparison to Matlab running time.

References
  1. Eskicioglu, A. and Fisher, P. 1993. A survey of quality measures for gray scale image compression. 9th Computing in Aerospace Conference, 49-61.
  2. K. Gu, G. Zhai, X. Yang, W. Zhang, “Using free energy principle for blind quality assessment”, IEEE Transactions on Multimedia, 2015, Vol. 17, No. 1, 50-63.
  3. Eskicioglu, A. and Fisher, P., “Image quality measures and their performance”, IEEE Transactions on Communications, 1995, Vol. 43, No. 12, 2959-2965.
  4. Poopal S. and Ravindran G., “The performance of fractal image compression on different imaging modalities using objective quality measures”, International Journal of Engineering Science and Technology, 2011, Vol. 3, No. 1, 525-530.
  5. Qassim, Y., Cutmore T. and Rowlands, D., “FPGA implementation of wavelet coherence for EEG and ERP signals”, Microprocessors and Microsystems, 2017, Vol. 51, 356-365.
  6. Fang R., Al-Bayaty R. and Wu, D., “BNB Method for No-Reference Image Quality Assessment”, IEEE Transactions on Circuits and Systems for Video Technology, 2015, DOI: 10.1109/ TCSVT.2016.2539658.
  7. B. Jovanovic and M. Jevtiv, 2010, FPGA Implementation of Throughput Increasing Techniques of The Binary Dividers, international scientific conference, 397-401, 19-20.
  8. D. Bishop, 1076-2008 Fixed point package user’s guide. Packages and bodies for the IEEE.
  9. Ismael, S. and Mahmod, B., “A novel way to design and implement statistical operations based on FPGA”, International Journal of Computer Applications, 2017, Vol. 167, No. 9, 8-11.
Index Terms

Computer Science
Information Sciences

Keywords

Image quality FPGA Accumulators parallel processing.