PERFORMANCE EVALUATION OF LOSSLESS COMPRESSION FOR IMAGES IN MOBILE RESPONSIVE WEB USING PARTICIPANTS’ OBSERVATION AND THURSTON RATING

Authors

  • Ayobami Gabriel AYENI (PhD) Author
  • Sunday, AGHOLOR (PhD) Author
  • Godwin Oluseyi ODULAJA (PhD) Author

DOI:

https://doi.org/10.36349/cbcs2q92

Keywords:

Compression, Images, Lossless, Responsive Web, Thurston Rating

Abstract

Compressing graphic-related content and multimedia elements like logos, objects, banners, and image data is undoubtedly necessary for a mobile responsive website. In image compression, redundant and/or irrelevant information is eliminated whilst the leftover is resourcefully encoded. However, selecting the compression technique or choice of appropriate method in handling image compression requires caution so as not 
to toss away non-redundant information and relevant fragments of image files in a bid to compress. This study investigates the functional performance and variation of a lossless method for compressing images in the mobile responsive web. Participants based experimental observation was adopted for research instrumentation, using the Thurston scale of rating to design a close-ended instrument for data collection.

Author Biographies

  • Ayobami Gabriel AYENI (PhD)

    Department of Computer Science, Sikiru Adetona College of Education, Science and 
    Technology, Omu Ajose, Ogun State, Nigeria.

  • Sunday, AGHOLOR (PhD)

    Department of Computer Science, Federal College of Education, Osiele, Abeokuta, 
    Ogun State, Nigeria.

  • Godwin Oluseyi ODULAJA (PhD)

    Department of Computer and Information Sciences, Tai Solarin University of 
    Education, Ijagun, Ogun State, Nigeria.

References

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Published

2025-12-04