Video Image Quality Assessment Method Based on Corner Feature Detection
Zhen Zhou · Jisuanji gongcheng · 2013
In order to assess the image degraded quality problem of a video,an objective video quality assessment method based on corner feature detection is proposed.By simulating the test images degraded in a real environment,and simulated images are generated.Then the number of corner in different corner detection parameters for test images and simulated images are computed by binary edge image to curvature.The best test image and corner detection parameters for a real environment can be obtained.Furthermore,the video quality is divided into several grades by the number of the detected corner.Then the number of corner for the test image detected in a real environment is regarded as the discriminant basis of the video quality assessment.Simulations are carried out by Matlab,the results show that the result of proposed method is keeping with subjective evaluation results,it is efficient.