CFP last date
20 May 2024
Reseach Article

ROI and Seam-SPIHT based Efficient Image Compression for Mobile Multimedia and Medical Applications

by Salija. P, Manimekalai. M. A. P, N. A Vasanthi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 12
Year of Publication: 2013
Authors: Salija. P, Manimekalai. M. A. P, N. A Vasanthi
10.5120/10684-5579

Salija. P, Manimekalai. M. A. P, N. A Vasanthi . ROI and Seam-SPIHT based Efficient Image Compression for Mobile Multimedia and Medical Applications. International Journal of Computer Applications. 64, 12 ( February 2013), 5-9. DOI=10.5120/10684-5579

@article{ 10.5120/10684-5579,
author = { Salija. P, Manimekalai. M. A. P, N. A Vasanthi },
title = { ROI and Seam-SPIHT based Efficient Image Compression for Mobile Multimedia and Medical Applications },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 12 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number12/10684-5579/ },
doi = { 10.5120/10684-5579 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:12.973874+05:30
%A Salija. P
%A Manimekalai. M. A. P
%A N. A Vasanthi
%T ROI and Seam-SPIHT based Efficient Image Compression for Mobile Multimedia and Medical Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 12
%P 5-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There is an increasing demand on content based color image compression in resource limited mobile multimedia devices. Multimedia applications gained popularity in the recent years, but these devices restricted by their display sizes and resource. Most of the devices share the same content on the internet. The size of the display devices is continually changing the quality of the shared content has also get reduced. One solution to this problem is to reduce volume of the multimedia content with less computational complexity to prolong the battery lifetime. The method presented in this paper addresses the increasing demand on content based color image compression and to re target the image at the receiving end with optimum solution.

References
  1. Abbate A. , DeCusatis C. M. , and Das P. K. , Wavelets and Subbands: Fundamentals and Applications. Boston, MA: Birkhauser, 2002.
  2. Pearlman W. A. , and Said A. "A new, fast and efficient image codec based on set partitioning in hierarchical trees," IEEE Trans. Circuits Syst. Video Technol. , vol. 6, no. 3, pp. 243–250, Jun. 1996.
  3. Cruz D. S. , Ebrahimi T. and Grosbois R. , "JPEG 2000 performance evaluation and assessment," Signal Process. : Image Commun. , vol. 17, no. 1, pp. 113–130, Jan. 2002.
  4. Liu D. , Sun X. Y. , Wu F. , and Zhang Y. Q. "Image compression with edge-based inpainting," IEEE Trans. Image Process. , vol. 17,no. 10, pp. 1273–1287, Oct. 2007.
  5. Nguyen T. Q . , Sole J. , Vo D. T. , Yin P and Gomila C. "Selective data pruning-based compression using high-order edge-directed interpolation," IEEE Trans. Image Process. , vol. 19, no. 2, pp. 399–409, Feb. 2010.
  6. Lee T. Y. , Sorkine O. , Tai C. L. , and Wang Y. S. "Optimized scaleand-stretch for image resizing," ACM Trans. Graphics, vol. 27, no. 5,pp. 118–125, Dec. 2008.
  7. Hasegawa M. , Kato S. , and Tanaka Y. "Image coding using concentration and dilution based on seam carving with hierarchical search," in Proc. IEEE Int. Conf. Acoust. , Speech. Signal Process. Mar. 2010, pp. 1322–1325.
  8. Anh N. T. N. , Cai J. F. , and Yang W. X. , "Seam carving extension: A compression perspective," in Proc. ACM Conf. Multimedia, Oct. 2009,pp. 825–828.
  9. M. Rubinstein, A. Shamir, and S. Avidan, "Multi-operator media retargeting,"in Proc. ACM SIGGRAPH, Aug. 2009, pp. 2301–2312.
  10. Chen W. F. , Fu X. L. , Liu Y. J. and Xuan Y. M. , "Image retargeting quality assessment," in Proc. , Apr. 2011, vol. 30, no. 2, pp. 583–592.
  11. Cai J. F. , Deng C. W. , and Lin W. S. , "Content-based image compression for arbitrary-resolution display devices," IEEE Int. 2012.
  12. Caspi, Irani M,Shechtman E. and Simakov D. "Summarizing visual data using bidirectional similarity," in Proc. IEEE Int. Conf. PatternRecognit. Comput. Vis. , Jun. 2008, pp. 1–8.
  13. Cheng M. M. , Hu S. M. , Huang X. , Mitra N. J. and Zhang G. X. "Global contrast based salient region detection," in Proc. IEEE Int. Conf. Pattern Recognit. Comput. Vis. , Jun. 2011, pp. 409–416.
  14. Achanta. R. ,Estrada F. , Hemami S. , and Susstrunk S. , "Frequency-tuned salient region detection," in Proc. IEEE Int. Conf. Pattern Recognit. Comput. Vis. , Jun. 2009, pp. 1597–1604.
  15. Avidan S. , and Shamir A. , "A seam carving for content-aware image resizing," ACM Trans. , Jul. 2007.
Index Terms

Computer Science
Information Sciences

Keywords

mobile multimedia DWT seam carving SPIHT color image compression optimum resolution