Method and device for evaluating image quality of video sequence
An image quality assessment, video image technology, applied in image communication, digital video signal modification, television and other directions, can solve the problems of long time, not suitable for video images, not applicable
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Embodiment 1
[0049] In the auto.yuv sequence, there is a jump between the 125th frame image and the 126th frame image (the jump here refers to the large difference in the content of the adjacent two frame images), and, from the 127th frame image, it begins to appear repeatedly The video image that appears from the first frame image, that is, the 127th frame image is the same as the first frame image, the 128th frame image is the same as the first frame image, and so on.
[0050] In Embodiment 1 of the present invention, the specific flow chart of evaluating the image quality of the images in the auto.yuv sequence by using the video image quality evaluation method provided by the embodiment of the present invention is as follows: Figure 2a As shown, it mainly includes the following steps:
[0051] Step 21, for each frame image in the auto.yuv sequence, respectively determine the number of intra-coded macroblocks in each frame image, specifically, for any frame image, first determine all ty...
Embodiment 2
[0059] In the branch.yuv sequence, the picture formed by each frame image in this sequence is actually a close-up picture gradually pushed from the panoramic picture in the first frame image to the close-up picture in the 150th frame image, that is, the 150th frame image is actually the first A close-up close-up of a small frame in a frame image, the branch.yuv sequence is characterized by small differences between images in adjacent frames.
[0060] In Embodiment 2 of the present invention, the specific flowchart of evaluating the image quality of the images in the branch.yuv sequence by using the video image quality evaluation method provided by the embodiment of the present invention is as follows: Figure 3a As shown, it mainly includes the following steps:
[0061] Step 31, for each frame image in the branch.yuv sequence, respectively determine the number of intra-coded macroblocks in each frame image, and in Embodiment 2 of the present invention, the statistics of each f...
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