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Image Compression Using Hybrid Technique

Paramjeet Singh1 , Binni Garg2 , Shaveta Rani3

  1. Dept. of CSE, Giani Zail Singh Campus College of Engineering and Technology, Bathinda, India.
  2. Dept. of CSE, Giani Zail Singh Campus College of Engineering and Technology, Bathinda, India.
  3. Dept. of CSE, Giani Zail Singh Campus College of Engineering and Technology, Bathinda, India.

Correspondence should be addressed to: binnigarg90@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-6 , Page no. 173-176, Jun-2017

Online published on Jun 30, 2017

Copyright © Paramjeet Singh, Binni Garg, Shaveta Rani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Paramjeet Singh, Binni Garg, Shaveta Rani, “Image Compression Using Hybrid Technique,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.173-176, 2017.

MLA Style Citation: Paramjeet Singh, Binni Garg, Shaveta Rani "Image Compression Using Hybrid Technique." International Journal of Computer Sciences and Engineering 5.6 (2017): 173-176.

APA Style Citation: Paramjeet Singh, Binni Garg, Shaveta Rani, (2017). Image Compression Using Hybrid Technique. International Journal of Computer Sciences and Engineering, 5(6), 173-176.

BibTex Style Citation:
@article{Singh_2017,
author = {Paramjeet Singh, Binni Garg, Shaveta Rani},
title = {Image Compression Using Hybrid Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2017},
volume = {5},
Issue = {6},
month = {6},
year = {2017},
issn = {2347-2693},
pages = {173-176},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1321},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1321
TI - Image Compression Using Hybrid Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Paramjeet Singh, Binni Garg, Shaveta Rani
PY - 2017
DA - 2017/06/30
PB - IJCSE, Indore, INDIA
SP - 173-176
IS - 6
VL - 5
SN - 2347-2693
ER -

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Abstract

Image compression is a technique to reduce the file size of an image. The main objective of a compression algorithm is to remove redundancy in an image. Compression ratio and Peak signal to noise ratio (PSNR) are the two parameters used to evaluate the efficiency of a particular algorithm. In this paper, we introduce some popular and a new compression algorithm. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the existing algorithms used for image compression. Hybrid compression is a new algorithm which is a combination of DWT and DCT. It takes advantages of both DWT and DCT by discarding their limitations. The purpose of the hybrid algorithm is to keep the balance between compression ratio and quality of the reconstructed image. On comparison of results of the Hybrid compression algorithm with DWT-based compression algorithm, it shows that there are high compression ratio and high quality of reconstructed image using Hybrid compression.

Key-Words / Index Term

Image Compression, Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Hybrid Compression, Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).

References

[1] C. S. Rawat and S. Meher, “A Hybrid Image Compression Scheme Using DCT and Fractal Image Compression”, The International Arab Journal of Information Technology, Vol. 10, No. 6, pp. 553- 561, 2013..
[2] Nageswara Rao Thota and Srinivasa Kumar Devireddy “Image compression using Discrete Cosine Transform” Georgian Electronic Scientific Journal: Computer Science and Telecommunications, Vol.17, No. 3, pp. 35-43, 2008.
[3] A.M.Raid , W.M.Khedr , M. A. El-dosuky and Wesam Ahmed “Jpeg Image Compression Using Discrete Cosine Transform - A Survey” International Journal of Computer Science & Engineering Survey (IJCSES), Vol.5, No.2, pp. 39-47, April 2014.
[4] S.P. Bagal and V.B. Raskar “JPEG Image Compression Using DCT” International Journal of Computer Sciences and Engineering, Vol. 4, Issue 4, pp. 34-38, April 2016.
[5] M. Mozammel Hoque Chowdhury and Amina Khatun “Image Compression Using Discrete Wavelet Transform” International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, pp. 327-330, July 2012.
[6] N. Saroya, Parbhpreet Kaur, “Analysis of image compression using DCT and DWT transforms”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4, Issue 2, pp. 879-900, 2014.
[7] P. Telagarapu, V. J. Naveen, A. L. Prasanthi, G. V. Santhi “Image Compression Using DCT and Wavelet Transformations”, International Journal of Signal Processing, Image Processing and Pattern Recoginition, Vol. 4, No. 3, pp. 61-73, 2011.
[8] K.Ayyappa Swamy, C.Somasundar Reddy, K. Durga Sreenivas, “Image compression using Hybrid DWT DCT transform” International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, Issue 5, pp. 1655-1658, May 2015.
[9] R.P. Jasmi, B. Permul and M.P. Rajasekaran, “Comparison of image compression techniques using Huffman Coding, DWT and Fractal Algorithm”, International Conference on Computer Communication and Informatics, Coimbatore (India), pp. 4799-6805, 2015