CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Implementation of Feature Selection Using Correlation Matrix in Python

Ahmad Farhan AlShammari
Random Articles
Reseach Article

Lossless Image Compression using Adaptive Predictive Coding of Selected Seed Values

by Ghadah Al-Khafaji, Haider Al-Mahmood
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 4
Year of Publication: 2016
Authors: Ghadah Al-Khafaji, Haider Al-Mahmood
10.5120/ijca2016909605

Ghadah Al-Khafaji, Haider Al-Mahmood . Lossless Image Compression using Adaptive Predictive Coding of Selected Seed Values. International Journal of Computer Applications. 141, 4 ( May 2016), 26-29. DOI=10.5120/ijca2016909605

@article{ 10.5120/ijca2016909605,
author = { Ghadah Al-Khafaji, Haider Al-Mahmood },
title = { Lossless Image Compression using Adaptive Predictive Coding of Selected Seed Values },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 4 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number4/24773-2016909605/ },
doi = { 10.5120/ijca2016909605 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:58.480135+05:30
%A Ghadah Al-Khafaji
%A Haider Al-Mahmood
%T Lossless Image Compression using Adaptive Predictive Coding of Selected Seed Values
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 4
%P 26-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, two proposed effective selection seed values techniques adopts to enhance the predictive coding efficiency.

References
  1. Ilam Parithi, T. and Balasubramanian, R. 2015. A Review on Different Lossless Image Compression Techniques. International Journal of Modern Sciences and Engineering Technology, 2(4), 86-94.
  2. Malwinder, K. and Navdeep, K. 2015. A Literature Survey on Lossless Image Compression. International Journal of Advanced Research in Computer and Communication Engineering, 4(3) 491-493.
  3. Kumari, A. and Priya, D. 2015. A Survey on Lossless Compression Techniques. Proceedings of 13th International Conference, Bengaluru, India, 20-27.
  4. Shilpa, I. and Deepak K. 2014. A Review on – Lossless Image Compression Techniques and Algorithms. International Journal of Computing and Technology, 1(9), 457-460.
  5. Amruta, S. and Sanjay L. 2013. A Review on Lossy to Lossless Image Coding. International Journal of Computer Applications, 67(17), 9-16.
  6. Venkatraman, B., Vaithiyanathan, V. and Karthikeyan, B. 2013. Review on Lossless Image Compression Techniques for Welding Radiographic Images. Research Journal of Applied Sciences, Engineering and Technology 5(1), 167-170.
  7. Ferni Ukrit, M., Umamageswari, A. and Suresh, G.R. 2011. A Survey on Lossless Compression for Medical Images. International Journal of Computer Applications, 31(8), 47-50.
  8. Sayood, K. Introduction to Data Compression. 2006. 3rd edn.Elsevier Inc., San Francisco United States of America
  9. Al-Khafaji, G. 2012. Intra and Inter Frame Compression for Video Streaming. Ph.D. thesis, Exeter University, UK.
  10. Al-Mahmood, H. and Al-Rubaye. Z. 2014.Lossless Image Compression Based on Predictive Coding and Bit Plane Slicing. International Journal of Computer Applications, 93(1)1-6.
  11. Sinan, Th. 2014. Medical Image Compression. Diploma, Dissertation, Baghdad University, Collage of Science
  12. Ghadah, Al-K. 2013. Hierarchal Autoregressive for Image Compression. The Proceeding of the 4th Conference of College of Education for Pure Science, Thi-Qar University, 4(1), 235-241.
  13. Gray, R. M. 2010. A Survey of Linear Predictive Coding: Part I of Linear Predictive Coding and the Internet Protocol. Foundations and Trends in Signal Processing, 3(3), 153-202.
  14. Fletcher, A.K. 2007. Robust Predictive Quantization: Analysis and Design Via Convex Optimization. Signal Processing, 1(4), 618 – 632.
  15. Chen, Y-T. and Tseng, D-C. 2007. Wavelet-Based Medical Image Compression with Adaptive Prediction. Computerized Medical Imaging and Graphics, 31, 1-8.
  16. Burgett, S. and Das, M. 1993. Predictive Image Coding using Multiresolution Multiplicative Autoregressive Models. Proceedings of the IEEE, 140(2), 127-134.
  17. 17-Murakami, H., Matsumoto, S., Hatori, Y. and Yamamoto, H. 1987. 15/30Mbit/s Universal Digital TV Codec Using a Median Adaptive Predictive Coding Methods. IEEE Transactions on Communications, 35(6), 637-645.
  18. Salo, J. and Neuvo, Y. 1988. A New Two Dimensional Predictor Design for DPCM Coding of Video Signals. Signal Processing of HDTV, 207-211.
  19. Perng, M. H. and Lin, H. H. 2006. Image Compression in the Wavelet Domain Using an AR Texture Model with Compressed Initial Conditions. Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation, 46-51.
Index Terms

Computer Science
Information Sciences

Keywords

Data compression redundancy lossless seed values and predictive coding

Powered by PhDFocusTM