Image Compression Based on Arithmetic Coding Algorithm

  • Ruaa Ibrahim Yousif Department of Computer Science, College of Science, University of Bagdad, Bagdad, Iraq
  • Nassir Hussein Salman Department of Computer Science, College of Science, University of Bagdad, Bagdad, Iraq
Keywords: lossy compression, Image compression, Arithmetic coding, Discreet Cosine Transform, YCbCr

Abstract

The past years have seen a rapid development in the area of image compression techniques, mainly due to the need of fast and efficient techniques for storage and transmission of data among individuals. Compression is the process of representing the data in a compact form rather than in its original or incompact form. In this paper, integer implementation of Arithmetic Coding (AC) and Discreet Cosine Transform (DCT) were applied to colored images. The DCT was applied using the YCbCr color model. The transformed image was then quantized with the standard quantization tables for luminance and chrominance. The quantized coefficients were scanned by zigzag scan and the output was encoded using AC. The results showed a decent compression ratio with high image quality.

Published
2021-01-30
How to Cite
YousifR. I., & SalmanN. H. (2021). Image Compression Based on Arithmetic Coding Algorithm. Iraqi Journal of Science, 62(1), 329-334. https://doi.org/10.24996/ijs.2021.62.1.31
Section
Computer Science