Why lossless compression video? For the following reasons:
1. Through the efforts of YUV has been the traditional way of preparing for the DCT and image compression, but decompression is very slow, self-extracting an image needs 1.6 seconds, the same machine can be soft play 720P video, differ very poor. Speed take a long time to study, this technique is not critical, already have (may not be fully independent domestic software), and open-source software, so give up. Try to create their own images fast lossless compression techniques, extract a 720P image needs to 56ms, you can accept.
2. For a multimedia software, grasp each frame of data is necessary because the existing video consecutive frames implicated each other, call the tedious, cut copyright and free software issues, so it is necessary for their own research and development of video compression / decompression technology.
3. Comparison lossy compression, lossless compression rates vary widely. Lossless compression is repeated using numerical, a small amount of change, correlation, etc. compressing.
4. Only now developed RGB666 (18 bit color) fast lossless compression method (Fast lossless compression code, FLCC666), RGB888 (24 bit color) if a subsequent development time.
The YUV-based DCT conventional manner and compressed image is lossy compression, even with the highest quality compression (so-called lossless mode) is lossy.
6. rip disadvantage is consuming excessive storage medium, in a conventional manner for less common applications. The advantage is not required, "transcoding", the same as the original file size after reduction. Based on these advantages it can be used for color-critical applications (medical, chemical, printing and dyeing, archival records etc.), due to the extraction of decompression speed, can be widely used in big data and artificial intelligence. For multimedia entertainment no choice but to accept that the future of the increasingly high demand for image clarity, color requirements more accurately, the video does not need to "transcoding" As memory capacity increases, more and more low cost, it is advantageous side, to be capable, based on the current development of the patent.
7. measured a complex image, before compression is: 2,095,104 bytes, compressed as: 1948154 bytes, the compression rate of 92.986%, for the simple composition, the amount of compression increase linearly.
Explanation of terms:
Compression ratio: Compression ratio (Compression rate), the term used to describe the name of compression, the size ratio of the size before compression and after compression, for example: the file compression is 100m 90m, the compression ratio is 90/100 * 100% = 90%.
Compression ratio: Compression ratio, compression ratio = amount of space before compression / actual amount of space, for example: the file compression is 100m 90m, the compression ratio is 100/90 = 1.11.