Motion vector self-selection method for image stream file compression
A technology of motion vector and file compression, which is applied in the field of image processing, can solve the problems of low-reliability coding block search center, high coding efficiency, and does not take into account the reliability of motion vectors in coding blocks, so as to reduce search complexity and improve The effect of accuracy
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Embodiment 1
[0037] When encoding an image stream file, the smaller the encoding block is selected, the higher the encoding efficiency is. At the same time, since the motion of the image frames in the image stream file (a video file composed of successive image frames) is coherent and has a certain motion trend consistency, the selected coding block (that is, the target in the present invention) There is a strong correlation between the motion vector (MV) of a coded block) and the set of motion vectors (MVs) of neighboring coded blocks. Therefore, the predicted motion vector (PMV) can be based on the judgment of the direction bias of the motion vector on the feature points of the coding block, so that the motion vector with better consistency with the image motion direction can be selected and added to the candidate list, thereby improving the confidence and accuracy of the obtained PMV. Coding efficiency.
[0038] In the existing H.265 / HEVC, the fast search algorithm of TZ search is comm...
Embodiment 2
[0081] In order to better verify and research the technical content of the present invention, this embodiment uses a simulation experiment to verify the present invention, by comparing the motion vector self-selection method proposed by the present invention with the rate-distortion and Computational complexity is used to verify the performance of the algorithm. The experimental test uses standard H.265 / HEVC video sequences, which have different resolutions and image texture characteristics. The configuration of the simulation experiment environment is shown in Table 1:
[0082] Table 1: Simulation experiment environment
[0083]
[0084] In order to evaluate the performance of the algorithm proposed in this patent, BD-BR and BD-PSNR are still used as the evaluation criteria of the algorithm performance, and the computational complexity (CI) of encoding is measured by the average encoding time.
[0085]
[0086] where T HM (QP i ) and T pro (QP i ) respectively repr...
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