Manuscript Number : IJSRST174623
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).
Kamalesh Acharya Image compression, BTC, DCT, SVD, MSE, PSNR and CR. Publication Details
Published in : Volume 4 | Issue 6 | March-April 2018 Article Preview
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
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
Journal URL : https://ijsrst.com/IJSRST174623
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