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The compression ratio (that is, the size of the compressed file compared to that of the uncompressed file) of lossy video codecs is nearly always far superior to that of the audio and still-image equivalents. Video can be compressed immensely (e.g., 100:1) with little visible quality loss
Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.
LosslessCut is a free, platform independent video editing software, which supports numerous audio, video and container formats. [4] [5] It is a graphical user interface, with MacOS, [6] Windows [7] and Linux [8] support, using the FFmpeg multimedia framework. The software focuses on the lossless editing of the video files. [9]
These algorithms almost all rely on psychoacoustics to eliminate or reduce fidelity of less audible sounds, thereby reducing the space required to store or transmit them. [2] [47] The acceptable trade-off between loss of audio quality and transmission or storage size depends upon the application.
Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
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As a result, a lower quality encoding (requiring less space) can be used for such B-frames because the loss of detail will not harm the prediction quality for subsequent pictures. H.264 relaxes this restriction, and allows B-frames to be used as references for the decoding of other frames at the encoder's discretion.
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