A PERFORMANCE STUDY OF TWO JPEG COMPRESSION APPROACHES

Authors

  • Doaa Elmourssi Department of Computer Science and Information Technology, Faculty of sciences and arts, Turaif, Northern Border University, Arar 91431, Kingdom of Saudi Arabia https://orcid.org/0000-0001-8636-8241
  • Wahida A. Mansouri Department of Computer Science and Information Technology, Faculty of sciences and arts, Turaif, Northern Border University, Arar 91431, Kingdom of Saudi Arabia
  • Wiam A. Elyass Department of Computer Science and Information Technology, Faculty of sciences and arts, Turaif, Northern Border University, Arar 91431, Kingdom of Saudi Arabia
  • Salwa H. Othman Department of Computer Science and Information Technology, Faculty of sciences and arts, Turaif, Northern Border University, Arar 91431, Kingdom of Saudi Arabia
  • Somia Asklany Modern academy for science and technology, Maadi, Cairo, Egypt

Abstract

As technology continues to advance, and the transition into the digital age, we find ourselves dealing with an ever-expanding volume of information, often leading to challenges in management. Consequently, there is a growing need to store and retrieve digital information in a manner that is both efficient and effective. This paper discusses jpeg image compression techniques; and presents comparison between two modifications of jpeg image compression techniques. Both of two modifications rely on applying DCT to the divided blocks of the image. They differ in the way of selecting the coefficients resulted from DCT to be quantized in order to remove redundancy. The quality of the compressed images is evaluated using Peak Signal to Noise Ratio (PSNR), Weighted Peak Signal to Noise Ratio (WPSNR) and spatial frequency measurement (SFM). 

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Published

2024-04-02

Issue

Vol. 2 No. 1 (2024): Journal of Intelligent Systems and applied data science (JISADS)

Section

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