CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids

by Archana R Priyadarshini
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 10
Year of Publication: 2015
Authors: Archana R Priyadarshini
10.5120/19353-1024

Archana R Priyadarshini . A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids. International Journal of Computer Applications. 110, 10 ( January 2015), 19-24. DOI=10.5120/19353-1024

@article{ 10.5120/19353-1024,
author = { Archana R Priyadarshini },
title = { A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 10 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number10/19353-1024/ },
doi = { 10.5120/19353-1024 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:00.796489+05:30
%A Archana R Priyadarshini
%T A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 10
%P 19-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the human visual system. Pyramid construction tends to enhance image features, such as edges, which are important for interpretation. Gaussian pyramid techniques are efficiently used for multi-scale edge estimation, to compute coarse scale images and also for finer details of the images . Laplacian pyramids methodology help in efficient compression and redundancy removal. The methodologies that are into picture helps to develop filter-based representations in order to decompose images into information at multiple scales, to extract features of interest and also in attenuating noise.

References
  1. Shibin Wu, Shaode Yu, Yuhan Yang and Yaoqin Xie, "Feature and Contrast Enhancement of Mammographic Based on Multiscale Analysis and Morphology", Computational and Mathematical Methods in Medicine Volume 2013 (2013), Article ID 716948.
  2. Wencheng Wang and Faliang Chang ,"A Multi-focus Image Fusion Method Based on Laplacian Pyramid", JOURNAL OF COMPUTERS, VOL. 6, NO. 12, DECEMBER 2011.
  3. S. Paris, S. W. Hasinoff, and J. Kautz, "Local Laplacian Filters: Edge-Aware Image Processing with a Laplacian Pyramid," ACM Transactions on Graphics (Proceedings of SIGGRAPH, Vol. 30, Issue 4, Article 68, 2011.
  4. P. Bhat, C. L. Zitnick, M. Cohen, and B. Curless, "Gradientshop: A Gradient-Domain Optimization Framework for Image and Video Filtering," ACM Transactions on Graphics, Vol. 29, Issue 2, Article 10, 2010.
  5. K. Subr, C. Soler, and F. Durand, "Edge-Preserving Multiscale Image Decomposition Based on Local Extrema," ACM Transactions on Graphics (Proc. SIGGRAPH Asia), Vol. 28, Issue 5, Article 147, 2009.
  6. S. Bae, S. Paris, and F. Durand, "Two-Scale Tone Management for Photographic Look," ACM Transactionsion Graphics (Proc. SIGGRAPH), Vol. 25, Issue 3, pp. 637–645. 2006.
  7. G. Aubert and P. Kornprobst, "Mathematical Problems in Image Processing: Partial Differential Equations and The Calculus of Variations," Applied Mathematical Sciences, Springer, Munich, Vol. 147,2002.
  8. Mill Xbt, AMelhmid Hachicha. and blain Mtrigot ,"An Efficient Parallel Implementation of the Laplacian Pyramid Algorithm" MvA'92 lAPR Worshop on MachineVision Applications Dec. 7-9,1992, Tokyo.
  9. P. J. Burt and E. H. Adelson, "The Laplacian Pyramid as a Compact Image Code," IEEE Transactions on Communication, Vol. 31, Issue 4, pp. 532–540, 1983.
  10. http://www. cs. toronto. edu/~mangas/teaching/320/assignments/a3/
  11. http://www. cs. utah. edu/~arul/report/node12
  12. http://graphics. cs. cmu. edu/courses/15463/2005_fall/www/Lectures/Pyramids
  13. http://cs. haifa. ac. il/hagit/courses/ip/Lectures/Ip11_MultiscaleRepx4.
Index Terms

Computer Science
Information Sciences

Keywords

Multi-resolutional coarse image human visual system compression and redundancy removal bandpass

Powered by PhDFocusTM