Its an another way of converting signal into frequency component in the context of digital image processing.
C=$\left \{ C(k,n) \right \}$ where
$ C(k,n) $=
The properties of Discrete Cosine Transform are:
1.It is real and orthogonal.
ie: C=C* C^-1=C^T
2 The DCT is not the real part of unitary DFT.
3.The DCT is a fast transform with computational complexicity in order of O(logN) (real).
C=$\left \{ C(k,n) \right \}$ where
$ C(k,n) $=The properties of Discrete Cosine Transform are:
1.It is real and orthogonal.
ie: C=C* C^-1=C^T
2 The DCT is not the real part of unitary DFT.
3.The DCT is a fast transform with computational complexicity in order of O(logN) (real).
4.It has excellent energy compact . So this is used in Data compression technique.
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