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    • 7. 发明授权
    • Lossless video data compressor with very high data rate
    • 无损视频数据压缩器具有非常高的数据速率
    • US07548658B1
    • 2009-06-16
    • US10670415
    • 2003-09-24
    • Leonid I. RudinPing Yu
    • Leonid I. RudinPing Yu
    • G06K9/46
    • H04N19/13H04N19/136H04N19/176H04N19/182H04N19/593H04N19/91
    • Lossless video data compression is performed in real time at the data rate of incoming real time video data in a process employing a minimum number of computational steps for each video pixel. A first step is to convert each pixel 8-bit byte to a difference byte representing the difference between the pixel and its immediate predecessor in a serialized stream of the pixel bytes. Thus, each 8-bit pixel byte is subtracted from its predecessor. This step reduces the dynamic range of the data. A next step is to discard any carry bits generated in the subtraction process of two's complement arithmetic. This reduces the data by a factor of two. Finally, the 8-bit difference pixel bytes thus produced are subject to a maximum entropy encoding process. Such a maximum entropy encoding process may be referred to as a minimum length encoding process. One example is Huffman encoding. In such an encoding process, a code table for the entire video frame is constructed, in which a set of minimum length symbols are correlated to the set of difference pixel bytes comprising the video frame, the more frequently occurring bytes being assigned to the shorter minimum length symbols. This code table is then employed to convert the all of the difference pixel bytes of the entire video frame to minimum length symbols.
    • 在采用每个视频像素的最小数量的计算步骤的过程中,以传入的实时视频数据的数据速率实时地执行无损视频数据压缩。 第一步是将每个像素8位字节转换为表示像素字节的串行化流中像素与其直接前导之间的差异的差异字节。 因此,每个8位像素字节从其前身中减去。 此步骤减少了数据的动态范围。 下一步是丢弃在二进制补码运算的减法过程中产生的进位位。 这将数据减少一倍。 最后,由此产生的8位差分像素字节经受最大熵编码处理。 这样的最大熵编码处理可以被称为最小长度编码处理。 一个例子是霍夫曼编码。 在这样的编码处理中,构成整个视频帧的码表,其中一组最小长度符号与包括视频帧的差分像素字节集合相关,更频繁地发生的字节被分配给较短的最小值 长度符号。 然后使用该代码表将整个视频帧的所有差异像素字节转换为最小长度符号。