Discrete Cosine Transform (DCT)

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Computation Direct application of the above formulas would require O(n 2 ) operations, as in the FFT it is possible to compute the same thing with only O(nlogn) complexity by factorizing the computation. (One can also compute DCTs via FFTs combined with O(n)) pre- and post-processing steps.) 12
References: 1. Rao and Yip, Discrete Cosine Transform: Algorithms, Advantages, Applications; Academic Press, Boston, 1990. 2. Arai, Agui, Nakajima, A Fast DCT-SQ scheme for Images, Trans. On IEICE-E, 71(11), 1095, Nov. 1998. 3. Tseng and Millen, On Computing the DCT, IEEE Trans. On Computers, pp. 966-968, Oct. 1978. 4. Frigo and Johnson, The Design and Implementation of FFTW3, IEEE Proceedings, vol. 93, no. 2, pp. 216-231, 2005. 13
Page 1 and 2: Discrete Cosine Transform (DCT) 1
Page 3 and 4: Two related transform are the discr
Page 5 and 6: Formulation: DCT is a linear and i
Page 7 and 8: DCT-II: f j = ∑ − n 1 k = 0 x k
Page 9 and 10: DCT-IV: f j = ∑ − n 1 k = 0 x k
Page 11: Inverse Transforms: IDCT-I is DCT-
Page 15 and 16: Then the 1-D DCT is applied to the
Page 17 and 18: 4 C u πu cos S 16 8 ( u) = 7 ∑ x
Page 19 and 20: We have the following DCT v.s. DFT
Page 21 and 22: Let X M = (f(0), f(1), f(2), f(3),
Page 23 and 24: F M = X M x (1/8)T M Because cosα
Page 25 and 26: 25 X M = F M x (8T M -1 ) = FM x L
Page 27 and 28: 27 ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥
Page 29 and 30: 29 So the IDFT can be performed by
Page 31 and 32: 31 ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩ ⎪
Page 33: If you count the operations you wil

Discrete Cosine Transform (DCT)

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