Comfort Evaluation Model Based on Region of Interest and Contrast of Stereo Images

A comfort evaluation model was proposed based on regional contrast, aiming at the problem that the stereo image comfort is difficult to effectively evaluate objectively, combined with the human visual attention mechanism. The region of interest was extracted as the foreground region according to the saliency map and the disparity map. Then, the color spaces of the foreground and background region were quantized, and the regional contrast with the spatial weighted was estimated. The parallax angle and width angle of the foreground area were calculated. Finally, according to the subjective evaluation values, the objective evaluation model was obtained by fitting the curve with least-square method. Comparing the D+ W model, the Pearson correlation coefficient and the Kendall correlation coefficient of the model prediction value and the subjective evaluation value are 8.1%o and 3.9% higher respectively than the original model. The average absolute value error is reduced by 13% , and the root mean square error is reduced by 22.1%. The experimental results show that the model has better universality and the result is closer to the subjective evaluation value.