Enhance Low-Quality Visual Streaming by Introducing Expandable Visual Aid Computing on User-Operated Mobile Devices

Abstract

In today's technological world, every user relies on handheld devices such as mobile phones, which play a crucial role in their daily lives. Using these gadgets, users access many applications such as listening to songs, playing games, making video calls, watching movies, and more. Through these activities, important information such as the type of device used and varying bandwidth requirements are involved. Although providers transmit data using a constant frequency range, the quality perceived by users varies based on the received speed. As a result, users often do not experience consistent quality when accessing information. It is difficult for users to consistently receive stable frequencies, which prevents them from fully enjoying the intended experience. This paper presents a solution to enhance poor visual aid frequencies by introducing a model that improves the quality of visual files. The proposed technique, called expandable visual aid computing, significantly improves the efficiency of the process. Experimental studies validate that the suggested technique excellently increases the competence of visual aid data transmission.