Exhaustive Crisp Parameter Modification in Quantization Table for Effective Image Compression

  • Ali Akber Siddique Department of Telecommunication Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan.
  • Muhammad Tahir Qadri Department of Electronic Engineering, Sir Syed University of Engineering and Technology, Karachi, Pakistan.
  • Zia Mohy-Ud-Din Department of Mechatronics and Biomedical Engineering, Air University, Islamabad, Pakistan.

Abstract

In recent times, transmission of information over wireless channels is increasing at an exponential rate. Internet is major source of information; it can be in the form of video or images which alone size up to 72% of the global traffic. In order to tackle such immense data, available channel may not be enough for transmission or reception, in this regard it is imperative to use efficient compressions techniques to reduce its size. Compressed image quality depends on the Quantization Table performed after spatial transformation like Discrete Cosine Transform. Size of a raw image captured by Digital Single-Lens Reflex, having all of its traits can easily exceed 20 Mega Bytes. In proposed compression algorithm, a Crisp parameter p modification step is introduced for effective compression of an image by utilizing standard Joint Picture Expert Group Quantization Table as a baseline model. After implementation of the proposed algorithm, Mean Opinion Score is obtained from the masses through an online survey and it provide the scores of 47.633 at p = 1, 62.74 at p = 8, and 83.252 at p = 16. According to Mean opinion score, best trade-off between quality and size of an image is between the values of p ranges from 11-20, this is also proved by Mean Squared Error and Peak Signal to Noise Ratio, as their ranges are 0.00038-0.000301 and 34.09-34.92 dB respectively. Compression Ratio which is from 6.49-5.76 is also acceptable for the given range.

Published
Apr 1, 2020
How to Cite
SIDDIQUE, Ali Akber; QADRI, Muhammad Tahir; MOHY-UD-DIN, Zia. Exhaustive Crisp Parameter Modification in Quantization Table for Effective Image Compression. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 39, n. 2, p. 279-286, apr. 2020. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/1587>. Date accessed: 01 june 2020. doi: http://dx.doi.org/10.22581/muet1982.2002.06.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License