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Low Bit Rate Image Compression using B-Spline Filters and Pre Filtering

by P. Ashok Babu, K.V.S.V.R.Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 11
Year of Publication: 2011
Authors: P. Ashok Babu, K.V.S.V.R.Prasad
10.5120/3691-5154

P. Ashok Babu, K.V.S.V.R.Prasad . Low Bit Rate Image Compression using B-Spline Filters and Pre Filtering. International Journal of Computer Applications. 29, 11 ( September 2011), 7-13. DOI=10.5120/3691-5154

@article{ 10.5120/3691-5154,
author = { P. Ashok Babu, K.V.S.V.R.Prasad },
title = { Low Bit Rate Image Compression using B-Spline Filters and Pre Filtering },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 11 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number11/3691-5154/ },
doi = { 10.5120/3691-5154 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:31.329329+05:30
%A P. Ashok Babu
%A K.V.S.V.R.Prasad
%T Low Bit Rate Image Compression using B-Spline Filters and Pre Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 11
%P 7-13
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we analyze the performance of B-spline filters, pre filtering and bit-plane coding for low bit rate image compression. The B-spline filters exhibit higher energy concentration in the lower frequency band than other known filters. This property can be exploited for very low bit rate image coding where the higher frequency bands might be very coarsely quantized. The relative information in the low frequency bands of the of the image can be increased by employ of the pre processing technique and bit-plane coding. Averaging technique is employed for image smoothening at low bit rates and bit-plane coding helps removing noise by discarding LSB. In this paper we analyze five techniques for image compression. It is found to be B-spline with one level of decomposition and preprocessing (along with bit-plane coding) gives the appropriate results as compared to the other techniques.

References
  1. R. E. Crochiere and L. R. Rabiner, Multirate Digital Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1983.
  2. D. Esteban and C. Galand,“Application of quadrature mirror filter banks, m-band extensions and Perfect reconstruction techniques,” in Proc. Int. Conf. on ASSP, pp. 191-195, 1977.
  3. P. P. Vaidyanthan, “Quadrature mirror filter banks, M-band extensions and perfect reconstruction Techniques," IEEE ASSP Magazine, pp. 4-20, July 1987.
  4. J. D. Johnston, “A filter family designed for use in quadrature mirror filter banks," in Proceedings of The ICASSP 80 Conference, pp. 291-294, April 1980.
  5. D. Le Gall and A. Tabatabai, “Sub-band coding of digital images using symmetric short kernel filters and arithmetic coding techniques," in Proceedings of the ICASSP 88 Conference, (New York), pp. 761-764, Ap april 1988.
  6. I.J.Schoenberg, “Contributions to the problem of approximation of equidistant data by analytic Functions," Q. Applied Mathematics,vol.4, pp. 45- 99, 12-141, 1946.
Index Terms

Computer Science
Information Sciences

Keywords

B- Spline filters filter banks sub band coding Pre processing Image Averaging

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