CFP last date
20 May 2024
Reseach Article

Discrete Triangle Transform based Compression and Communication with Triangular basis Function

by Ronak Vyas, Aditya Oza, Wilfred Castelino, Sharad Wagh, Ashwini Gade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 2
Year of Publication: 2014
Authors: Ronak Vyas, Aditya Oza, Wilfred Castelino, Sharad Wagh, Ashwini Gade
10.5120/16185-4323

Ronak Vyas, Aditya Oza, Wilfred Castelino, Sharad Wagh, Ashwini Gade . Discrete Triangle Transform based Compression and Communication with Triangular basis Function. International Journal of Computer Applications. 93, 2 ( May 2014), 5-7. DOI=10.5120/16185-4323

@article{ 10.5120/16185-4323,
author = { Ronak Vyas, Aditya Oza, Wilfred Castelino, Sharad Wagh, Ashwini Gade },
title = { Discrete Triangle Transform based Compression and Communication with Triangular basis Function },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 2 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number2/16185-4323/ },
doi = { 10.5120/16185-4323 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:44.983701+05:30
%A Ronak Vyas
%A Aditya Oza
%A Wilfred Castelino
%A Sharad Wagh
%A Ashwini Gade
%T Discrete Triangle Transform based Compression and Communication with Triangular basis Function
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 2
%P 5-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The non– sinusoidal transforms with orthogonal functions consists of Hadamard, Walsh, and Haar function. These non–sinusoidal orthogonal functions consists of either square or rectangular waves. The basis function of this transforms are not sinusoidal. A next level of advancement to the theory of transforms is given by the triangular basis function. The triangular basis function and its use in image transform is discussed in the paper and also the orthogonal matrix for the basis function is discussed for transform.

References
  1. Mike Chow. Optimized Geometry Compression for Real-time Rendering. In IEEE Visualization'97, pages 347–354, 1997.
  2. Rafel Gonzalez and Richard Woods. Digital Image Processing. Addison-Wesley Publishing Company, 1992.
  3. Stefan Gumhold and Wolfgang Strasser. Real-time Compression of Triangle Image Connectivity. In SIGGRAPH 98, pages 133–140, 2007
  4. Z. Karni and C. Gotsman. Spectral Compression of Triangle Geometry. In SIGGRAPH 2000, pages 279–286, 2000.
  5. M. P¨uschel and J. M. F. Moura, "The Discrete Trigonometric Transforms and Their Fast Algorithms: An Algebraic Symmetry Perspective," in Proc. 10th IEEE DSP Workshop, 2002, pp. 268–273.
  6. Emil Praun, Hugues Hoppe, and Adam Finkelstein. Robust Mesh Watermarking. In SIGGRAPH 99, pages 49–56, 2000.
  7. Mark Nelson. Data Compression Handbook. M & T Publishing, Inc. , 1991.
  8. J. A. Parker, R. V. Kenyon, and D. E. Troxel, "Comparison of interpolating methods for image resampling," IEEE Transactions on Medical Imaging, vol. MI-2, no. 1, pp. 31–39, 1983.
Index Terms

Computer Science
Information Sciences

Keywords

Tribas basis function triangular wave transform.