Moan, Steven leSteven leMoanPreiss, JensJensPreissUrban, PhilippPhilippUrban2022-03-122022-03-122015https://publica.fraunhofer.de/handle/publica/38834610.1117/12.2078879In this study, we investigate the extent to which an image-difference metric based on structural similarity can correlate with human judgment. We introduce a modified version of the recently published iCID metric and present new results over two large image quality databases. It is particularly noteworthy that the proposed metric yields a correlation of 0.861 with mean opinion scores on the 2013 version of the renowned Tampere Image Database, without dedicated parameter optimization.enForschungsgruppe Semantic Models, Immersive Systems (SMIS)image qualityhuman visual systemBusiness Field: Virtual engineeringResearch Line: Modeling (MOD)006conference paper