A Holistic Survey of Wireless Multipath Video Streaming <s> E. Performance Metrics <s> The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method. <s> BIB001 </s> A Holistic Survey of Wireless Multipath Video Streaming <s> E. Performance Metrics <s> Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a structural similarity index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. A MATLAB implementation of the proposed algorithm is available online at http://www.cns.nyu.edu//spl sim/lcv/ssim/. <s> BIB002
Several performance metrics were used in the surveyed works cited in Table IX . Most of them are explained in Section IV-B. We have added some additional video quality metrics, such as Peak Signal-to-Noise Ratio (PSNR), Video Quality Metric (VQM), Structural SIMilarity (SSIM) BIB002 , MultiScale Structural SIMilarity (MS-SSIM) BIB001 , and Subjective Assessment Methodology for VIdeo Quality (SAMVIQ)  .