DOI Prefix : 10.9780 | Journal DOI : 10.9780/22307850
Scroll to Top

Volume : II, Issue : XI, December - 2012

INNOVATIVE IMAGE COMPRESSION TECHNIQUE USING WAVELET PACKET TRANSFORM AND VECTOR QUANTIZATION

S.L. Lahudkar , P.R. Badadapure

DOI : 10.9780/22307850, Published By : Laxmi Book Publication

Abstract :

The purpose of this paper is to introduce an image compression scheme using a combination of wavelet packet transform and vector quantization. All the wavelet packet bases corresponding to various tree structures have been considered and the best one has been coined based upon the peak signal to noise ratio and compression ratio of the reconstructed image. In first step input image decorrelation using the wavelet packet transform, the second step in the coder construction is the design of a vector quantizer. Vector Quantization (VQ) is fast and efficient method of quantizing Laplacian-like data, such as generated by transforms (especially wavelet transforms) or sub-band filters in an image compression system. VQ has very simple systematic encoding and decoding algorithms and does not require codebook storage. VQ has culminated in high performance and faster VQ image compression systems for both transforms and subband decompositions. The proposed algorithm provides a good compression performance The introduction of wavelets gave a different dimension to the compression. But there are some limitations of wavelets while handling the line and curve singularities in the image. There are transforms beyond wavelets namely – Curvelet and Ridgelet Transforms. This paper aims at the analysis of compression using Curvelet, Wavelet and the Ridgelet Transform. The Curvelet Transform gives better performance in terms of PSNR. Wavelet performs the least and is also affected by the blocking artifacts. By selecting proper thresholding method, better results for PSNR have been obtained. Using the proposed algorithm the compression ratio is increased by about 25 – 30 % as compared to conventional DWT technique.

Keywords :


Article :


Cite This Article :

S.L. Lahudkar , P.R. Badadapure, (2012). INNOVATIVE IMAGE COMPRESSION TECHNIQUE USING WAVELET PACKET TRANSFORM AND VECTOR QUANTIZATION. Indian Streams Research Journal, Vol. II, Issue. XI, DOI : 10.9780/22307850, http://oldisrj.lbp.world/UploadedData/1741.pdf

References :

  1. Antonini.M,and Barlaud.M, “Image Coding Using Wavelet Transform”, IEEE Transformation on Image Processing, Vol. 1, No. 2, Apr. 1992, pp. 205 – 220.
  2. Cardinal.J ,“Fast Fractal Compression of Grayscale Images”, IEEE Transactions on Image Processing, Vol. 10, No. 1, Jan. 2001, pp. 159 - 164.
  3. Chang.C.C, Chuang J.C and Chung. C.Y, “Quadtree-Segmented Image Compression method using Vector Quantization and Cubic B-Spline Interpolation”, The Imaging Science Journal, Vol. 52, No. 2, Jun. 2004, pp. 106 – 116.
  4. Feng. J and Lo. K. T, “ Feature-Based Initialisation for image Vector Quantization Codebook Generation”, Electronics Letters, Vol. 36, No. 24, Nov. 2000, pp. 2005 – 2006.
  5. Graps. A, “An Introduction to Wavelets”, IEEE Computational Science and Engineering, Vol.2 No. 2, 1995, pp. 51 – 60.
  6. Gersho.A and Gray. R.M , “Vector Quantization & Signal Compression”, Kluwer Academic Pub.Boston US, 1992.
  7. Martin. K, Lukac.R and Plataniotis.K.N, “Efficient Encryption of Wavelet –Based Coded Color Images”, Pattern Recognition, Vol. 38, No. 7. Jul 2005, pp. 1111 – 1115.
  8. Awais Mansoor and Atif Bin Mansoor, “On Image Compression Using Digital Curvelet Transform”, 9th International Multitopic Conference, IEEE INMIC 2005, Dec. 2005, pp 11 – 15.
  9. G. K. Kharate, A. A. Ghatol and P.P. Rege,“Image compression Using Wavelet Packet Tree”, ICGST GVIP Journal , Vol 7, 2007.

Article Post Production

Article Indexed In

Comments :

Enter Name :
Email ID :
Comments :

Previous Comments :

Creative Commons License
Indian Streams Research Journal by Laxmi Book Publication is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at http://oldisrj.lbp.world/Default.aspx.
Permissions beyond the scope of this license may be available at http://oldisrj.lbp.world/Default.aspx
Copyright © 2014 Indian Streams Research Journal. All rights reserved
Looking for information? Browse our FAQs, tour our sitemap, or contact ISRJ
Read our Privacy Policy Statement and Plagairism Policy. Use of this site signifies your agreement to the Terms of Use