提出了一种复杂度可分级的帧内预测方法。
In this paper, a complexity-scalable intra-frame prediction method is proposed.
目的建立一个控制性、重复性好，并可分级的骨骼肌挫伤动物模型。
Objective To establish a new animal model of grading skeletal muscle contusions that could be controllable and repetitive.
可分级的视频编解码器可以使用经解码的较低比特深度的视频来进行色调映射和色调映射推导，从而将较低比特深度的视频转换为较高比特深度的视频。
A scalable video codec may convert lower bit depth video to higher bit depth video using decoded lower bit depth video for tone mapping and tone mapping derivation.
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