Enhanced the quality of telemedicine real-time video transmission and distortion minimization in wireless network

Achieving good quality and minimum distortion of the video frames is one of the most challenging requirements in the telemedicine system. Transmission process for a real-time video over the wireless network is due to various real-time restrictions, such as encoding mechanism, noise, and bandwidth fluctuations. The restrictions introduce distortions and delay, hence adversely affect the reliability and quality of the video transmission system. This study aims to propose a new system which can fine-tune the encoding process dynamically. The proposed system consists of an Enhanced Video Quality and Distortion Minimization (EVQDM) algorithm to achieve guaranteed quality, minimum distortion, and the minimum delay in the transmission of the video. This system guarantees the video quality by using the adaptive video encoding technique and minimizes the distortion by considering the truncating distortion in the enhanced distortion minimization algorithm. The results of applying the proposed EVQDM algorithm and the state-of-the-art solutions are compared, and it was shown that the proposed algorithm improved the state-of-the-art solution. The video quality has been increased from 47.2 dB to 50.13 dB, the video distortion has been minimized from 0.6802 to 0.3509 and the end-to-end delay has been reduced from 123.58 ms to 112.57 ms. The proposed solution focuses on truncating distortion, to minimize the total distortion of the video. For summarization, this solution addressed the issues of achieving minimum distortion and delay while providing the guaranteed video quality within the boundaries of the real-time constraints that are imposed on the system