Low Quality and Recognition of Image Content

Assessment of visual encryption video and image content requires a reliable estimation recognizability low quality. As pointed out in the literature, current methods are insufficient research into this topic, as well relation between quality recognizability, is still lacking. This lack primarily due to data. To improve on status-quo we have taken database performed subjective evaluation subset images. gives us new with both information allows delve recognizability. We analyze relationship predictive state art indices. show that indices poor indicators for Furthermore, they must be fit because disparity two distinct perceptual tasks: