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What are the different transforms used in transform coding and how the

differ in image Processing?

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Many types of transforms used for picture coding, are Fourier, Karhonen-Loeve,

Walsh - Hadamard, lapped orthogonal, discrete cosine (DCT), and recently,

wavelets. The various transforms differ among themselves in three basic ways

that are of interest in picture coding:

1) The degree of concentration of energy in a few coefficients;

2) The region of influence of each coefficient in the reconstructed picture;

3) The appearance and visibility of coding noise due to coarse quantization of the

coefficients.

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