PSNR and SSIM: Evaluation of the Imperceptibility Quality of Images Transmitted over Wireless Networks
Walter CSS Simões, Muktikanta Sa
Abstract
Currently, evaluators assess the quality of content transmitted by computing devices, such as smartphones and computers, based on the success or failure of the human visual system. However, many failures go unnoticed because of the flow of frames and the large volume of information transmitted. This paper proposes automatic monitoring of the quality of multimedia content transmitted between a smartphone and a digital TV via a wireless transmission channel. The methodology combines two tools: the peak signal-to-noise ratio (PSNR) and the structural similarity index (SSIM). To receive the transmitted data, we establish intermediation through a hotspot and monitor it using the Wireshark tool. The results indicate a 99.42% accuracy rate for local media and 99.02% accuracy in processing media consumed from streaming channels. Based on test and analysis results, this research concludes that the proposed architecture allowed a better measure of imperceptibility in aspects where human vision is more sensitive, such as color changes.