CFP last date
20 December 2024
Reseach Article

Comparative Study of DCT based Image Compression on Hexagonal and Conventional Square Pixel Images

by Jeevan K.m.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 7
Year of Publication: 2012
Authors: Jeevan K.m.
10.5120/6119-8334

Jeevan K.m. . Comparative Study of DCT based Image Compression on Hexagonal and Conventional Square Pixel Images. International Journal of Computer Applications. 43, 7 ( April 2012), 40-42. DOI=10.5120/6119-8334

@article{ 10.5120/6119-8334,
author = { Jeevan K.m. },
title = { Comparative Study of DCT based Image Compression on Hexagonal and Conventional Square Pixel Images },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 7 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number7/6119-8334/ },
doi = { 10.5120/6119-8334 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:50.947645+05:30
%A Jeevan K.m.
%T Comparative Study of DCT based Image Compression on Hexagonal and Conventional Square Pixel Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 7
%P 40-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Even though, the storage space and transmission bandwidth can be reduced by compression, it will reduce the image fidelity, especially when the images are compressed at lower bit rates. Discrete Cosine Transform (DCT) based compression is an effective way of compression in which good compression ratio without losing too much of information can be obtained. In this work a comparison of DCT based Image compression on hexagonal and rectangular sampling grid is performed. Mean Square Error and Peak Signal to Noise Ratio is considered for the performance analysis. Compression on hexagonal domain gives better results compared to compression on rectangular domain

References
  1. K. P. Soman and K. I. Ramachandran, "Insight into wavelets from theory to practice", Second Edition, PHI, 2005
  2. Anil K. Jain. "Fundamentals of Digital Image Processing", Prentice Hall, 2001
  3. Gonzalez, R. C. and R. E. Woods, "Digital image processing", New Jersey: Prentice Hall, 2002
  4. P. Vidya,S. Veni and K. A. Narayanankutty, "Performance Analysis of Edge Detection Methods on Hexagonal Sampling Grid", International Journal of Electronic Engineering Research, ISSN 0975 - 6450 Volume 1 Number 4 (2009) pp. 313–328
  5. P. Vidya, "Gabor Wavelet Based Edge Detection on Hexagonal Sampled Grid", The International Journal on Electronics & Communication Technology, ISSN 2230-7109, Volume 2, Issue 2, June 2011, pp 122-125
  6. Staunton, R. C. , "An Analysis of Hexagonal "Thinning Algorithms and Skeletal Shape Representation". Pattern Recognition, 29(7): p. 1131-1146, 1996.
  7. Staunton, R. C. , "A one pass parallel hexagonal thinning algorithm. Image Processing and Its Applications", 1999. Seventh International Conference on (Conf. Publ. No. 465), 2: p. 841-845 vol. 2, 1999.
  8. Golay, M. , "Hexagonal parallel pattern transformation". IEEE Transactions on computers, 18(8): p. 733-740, 1969.
  9. A. Laine,S. Schuler,"Hexagonal wavelet processing of digital mammography",Medical Imaging 1993, Part of SPIE's Thematic Applied Science and Engineering series, Newport Beach, California, February 14-19,1993.
  10. Qiang Wu, Xiangjian He and Tom Hintz, "Preliminary Image Compression Research Using Uniform Image Partitioning on Spiral Architecture", Proceedings of the 2nd International Conference on Information Technology for Application (ICITA 2004)
  11. E. Schwartz, "Computational Anatomy and Functional Architecture of Striate Cortex: A Spatial Mapping Approach to Perceptual Coding" Vision Research 20, pp.
  12. Mersereau, R. M. , "The processing of Hexagonally Sampled Two-Dimensional Signals'. Proceedings of the IEEE, 67: p. 930-949,1979.
Index Terms

Computer Science
Information Sciences

Keywords

Image Resampling Hexagonal Image Alternate Pixel