A Comparative Study of Image Compression Techniques

Authors(2) :-Kamalesh Acharya, Shruti Bijawat

The increase in the amount of images captured per day and uploaded over cloud nowadays requires much more bandwidth then previous few years. The high end enhanced image quality requires more number of bits per pixel which increase the overall size of a single image. We generally need to compress the image before storing and transmitting over the channel. In this paper we shall discuss three algorithms for image compression such as: - Block Truncation Coding (BTC), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD). We shall compare the results by using MATLAB as tool by calculating Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).

Authors and Affiliations

Kamalesh Acharya
Department of Computer Engineering, Poornima Institute of Engineering & Technology Jaipur, Rajasthan, India
Shruti Bijawat
Department of Computer Engineering, Poornima Institute of Engineering & Technology Jaipur, Rajasthan, India

Image compression, BTC, DCT, SVD, MSE, PSNR and CR.

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Publication Details

Published in : Volume 4 | Issue 6 | March-April 2018
Date of Publication : 2018-03-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 105-110
Manuscript Number : IJSRST174623
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Kamalesh Acharya, Shruti Bijawat, " A Comparative Study of Image Compression Techniques, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 6, pp.105-110, March-April-2018. Available at doi : 10.32628/IJSRST174623
Journal URL : http://ijsrst.com/IJSRST174623

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