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Images have high information content, both in terms of information theory (i.e., the number of bits required to represent images) and in terms of semantics (i.e., the meaning that images can convey to the viewer).
A significant coefficient is encoded by means of a symbol indicating the number of bits required to represent that coefficient.
The number of bits required to represent the number of banks is dependent on the total number of banks in this multiple bank scheme.
The CR is defined as the ratio between the number of the bits required to represent the original and reconstructed signals [30].
The compression ratio is defined as a ratio between the number of bits required to represent the original signal and the compressed signal.
b Ci, b R, b K are the minimum numbers of the bits required to represent the gain coefficient C i, and the integers N S and N E, respectively.
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Since the DCT transform outputs 12-bit values from the 8-bit pixel data, the actual number
This is because with sparser sampling, less number of bits is required to represent the information.
This is because with more sparse sampling, less number of bits is required to represent the information.
With the increasing of sampling spacings, the data rate decreases at certain distortion, which is because with more sparse sampling, less number of bits is required to represent the information.
Only 5 bits are required to represent the 32 rotational angles.
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