Abstract:

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.

Key words: corner feature detection, video image, image quality assessment, curvature scale space, Canny operator

摘要：

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关键词: 角点特征检测, 视频图像, 图像质量评价, 曲率尺度空间, Canny算子

CLC Number: 

• TN919.8