多媒体技术概论(Introduction to multimedia technology).doc
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多媒体技术概论(Introduction to multimedia technology)
The so-called lossless compression format is compressed using statistical redundancy data, can completely recover the original data without causing any distortion, but the compression rate is limited by the theory of statistical data redundancy, generally 2:1 to 5:1. this kind of method is widely used in text data, image data procedures and special applications (such as fingerprint image. Medical image compression etc.).
Because the name lossless compression compression ratio limit, using only the lossless compression method can not solve all problems is the image and digital video storage and transmission. Lossless compression methods often use Shannon-Fano encoding, Huffman encoding, RLE encoding (Run-length), LZW (Lempel-Ziv-Welch) encoding and arithmetic encoding etc.. The so-called lossless compression format, as its name suggests, is the audio format that compresses audio signals without loss. Common formats such as MP3 and WMA are lossy compression formats, and they have a considerable amount of signal loss compared to the WAV file as the source, which is the root cause of their compression rate of 10%. The lossless compression format is like compressing compressed audio signals using compressed software such as Zip or RAR, and the resulting compressed format is reduced to WAV files that are identical to the WAV files that are used as sources! However, if you compress WAV files with Zip or RAR, you must decompress the compressed package before you can play it. The lossless compression format can be broadcast directly through the playback software, and is used in the same format as lossy formats such as MP3. In a word, lossless compression format is the format that reduces the size of WAV files without sacrificing any audio signals. Edit this paragraph lossless \ lossy compression, comparative advantages of lossless compression
1, 100% save, no signal loss as said before, the lossless compression format as compres
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