Real DFT Using DCT

1. Is DCT real part of DFT?
2. Why DCT is used instead of DFT?
3. What is difference between DFT and DCT?
4. Why DCT is better than FFT?

Is DCT real part of DFT?

DCT is NOT the real part of the DFT rather it is related to the DFT of a symmetrically extended signal/image. The energy of signal/image is packed mostly in only a few DCT coefficients (i.e. only a few significant X(k)'s), hence making DCT very useful for data compression applications.

Why DCT is used instead of DFT?

> DCT is preferred over DFT in image compression algorithms like JPEG > because DCT is a real transform which results in a single real number per > data point. In contrast, a DFT results in a complex number (real and > imaginary parts) which requires double the memory for storage.

What is difference between DFT and DCT?

Like the discrete Fourier transform (DFT), a DCT operates on a function at a finite number of discrete data points. The obvious distinction between a DCT and a DFT is that the former uses only cosine functions, while the latter uses both cosines and sines (in the form of complex exponentials).

Why DCT is better than FFT?

The difference between a Discrete Fourier Transform and a Discrete Cosine transformation is that the DCT uses only real numbers, while a Fourier transform can use complex numbers. The most common use of a DCT is compression. It is equivalent to a FFT of twice the length.