PERFORMANCE EVALUATION OF LOSSLESS COMPRESSION FOR IMAGES IN MOBILE RESPONSIVE WEB USING PARTICIPANTS’ OBSERVATION AND 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. A simple clustering technique was used to select seventy-five (75) information technology and computing practitioners with a specialty in web development and graphic design from Ogun East Senatorial District in Nigeria; however, only fifty (50) practitioners were available as expert judges for Thurston rating on electronically administered research instrument. The results show average mean values of 3.78, 3.46, and 3.05 using decision rule in SPSS to validate the three research questions respectively, which depict distinct aesthetic effects and graphic quality of lossless compression, as well as notable improvement in web page size and browser loading time when using lossless compression for all images in mobile response website