Objective Prediction of Human Visual Acuity Using Image Quality Metrics

This work addresses the objective prediction of human uncorrected decimal visual acuity, an unsolved challenge due to contribution both physical and neural factors. An alternative approach assess image quality system can be addressed from video processing perspective. Human tolerance degradation is quantified by mean opinion scores, several assessment algorithms are used maintain, control, improve processed images. The aberration map eye obtain degraded theoretical a set natural amount distortion added was using different metrics, correlation between result each metric subjective acuity assessed. obtained for model based on linear combination normalized square error feature similarity index very good. It concluded that proposed method could way determine subjects’ monocular with low uncertainty.