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JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio

by Dhananjay Patel, Alina Menoth Jose, Nigel Mascarenhas, Steape Stany Monis
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 15
Year of Publication: 2013
Authors: Dhananjay Patel, Alina Menoth Jose, Nigel Mascarenhas, Steape Stany Monis
10.5120/14200-2418

Dhananjay Patel, Alina Menoth Jose, Nigel Mascarenhas, Steape Stany Monis . JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio. International Journal of Computer Applications. 81, 15 ( November 2013), 23-27. DOI=10.5120/14200-2418

@article{ 10.5120/14200-2418,
author = { Dhananjay Patel, Alina Menoth Jose, Nigel Mascarenhas, Steape Stany Monis },
title = { JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 15 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number15/14200-2418/ },
doi = { 10.5120/14200-2418 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:09.318475+05:30
%A Dhananjay Patel
%A Alina Menoth Jose
%A Nigel Mascarenhas
%A Steape Stany Monis
%T JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 15
%P 23-27
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

DCT based JPEG compression is a widely used standard for lossy image compression. DCT concentrates energy into lower order coefficients. It removes redundancy between neighbouring pixels which leads to uncorrelated transform coefficients which can be encoded independently. There is high computational complexity in DCT. DHT is a real valued transform whose forward and inverse transforms are same except for a an inclusion of a scale factor in the inverse transform. DHT reduces the computational complexity of JPEG compared to DCT. DHT doesn't require a dequantizer at the decoder, since a new quantization technique known as energy quantization is used. It speeds up the encoding procedure, reduces hardware as well as makes the implementation simpler. The quality of the reconstructed image is very good which is verified using MATLAB i. e. the PSNR is improved and the MSE is reduced.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Discrete Cosine Transform (DCT) Discrete Hartley Transform (DHT) Joint Photographic Experts Group (JPEG) Quantization Encoding Peak Signal to Noise Ratio(PSNR) Mean Square Error(MSE)

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