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Lagarith是一种无损视频编解码器用于编辑和归档目的。 Lagarith提供更好不是像Huffyuv,Alparysoft和CorePNG编解码器压缩。有几个无损压缩编解码器,可以更好地比Lagarith如密西根州立大学和FFV1,但是Lagarith往往快于这些编解码器。 Lagarith是能够在几个色彩空间-RGB24,RGB32,RGBA格式,YUY2的,和YV12。对于DVD视频,压缩一般只有10-30%,比Huffyuv更好。然而,对于高静态画面或高度可压缩的场面,Lagarith显着优于Huffyuv。一种比较不同类型的视频可以在这里找到。 Lagarith能够超越Huffyuv原因在于它采用了更好的压缩方法。像素值首先用中位数预测预报(时使用同样的方法“预测中位数“是Huffyuv选中)。在一个更可压缩的数据流这样的结果。在Huffyuv,此字节流将被压缩,然后使用霍夫曼压缩。在Lagarith,字节流可能会受到修改的运行长度编码是否会导致更好的压缩。由此产生的字节流,然后将其从使用算术压缩的压缩,不同的是,哈夫曼压缩,可以使用每个符号小数位。这使得压缩后的大小是非常接近的信息熵,是为什么Lagarith可以压缩比Huffyuv更好的简单框架,并避免扩大高静压视频。此外,Lagarith已为空框架支持,如果在数学上的前一帧相同的电流,当前帧将被丢弃,译码器将只使用前一帧了。
Lagarith is a lossless video codec intended for editing and archiving. Lagarith offers better compression than codecs like Huffyuv, Alparysoft, and CorePNG. There are a few lossless codecs that can compress better than Lagarith, such as MSU and FFV1; however Lagarith tends to be faster than these codecs. Lagarith is able to operate in several colorspaces - RGB24, RGB32, RGBA, YUY2, and YV12. For DVD video, the compression is typically only 10-30% better than Huffyuv. However, for high static scenes or highly compressible scenes, Lagarith significantly outperforms Huffyuv. A comparison for various types of video can be found here. Lagarith is able to outperform Huffyuv due to the fact that it uses a much better compression method. Pixel values are first predicted using median prediction (the same method used when "Predict Median" is selected in Huffyuv). This results in a much more compressible data stream. In Huffyuv, this byte stream would then be compress using Huffman compression. In Lagarith, the byte stream may be subjected to a modified Run Length Encoding if it will result in better compression. The resulting byte stream from that is then compressed using Arithmetic compression, which, unlike Huffman compression, can use fractional bits per symbol. This allows the compressed size to be very close to the entropy of the data, and is why Lagarith can compress simple frames much better than Huffyuv, and avoid expanding high static video. Additionally, Lagarith has support for null frames; if the previous frame is mathematically identical to the current, the current frame is discarded and the decoder will simply use the previous frame again.