Abstract
Temporal fluctuation artifact is often observed in digitally compressed video. However, the fluctuation intensity cannot be correctly measured by the traditional image/video quality metric, e.g., the peak signal-to-noise ratio (PSNR), which only addresses on the quality of a single image. Although there are several metrics proposed for temporal fluctuation measurement, e.g., the <i>sum of squared differences (SSD)</i> and <i>motion compensated SSD (MCSSD)</i>, these first difference based algorithms may falsely treat a smoothly continuous change of pixels as the temporal fluctuation artifact. To overcome this problem, this contribution proposes a second difference based temporal metric, named the <i>motion estimated mean scaled absolute second difference (MEMSASD)</i> The performance of the MEMSASD is examined using a number of video sequences with varying degrees of temporal fluctuation, which are generated by an H.264/AVC compliant codec. Compared with existing metrics such as the PSNR, the SSD and the MCSSD, the results of the proposed metric better reflect the temporal fluctuation intensity.
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