A modal wavelet transform, which overcomes the intrinsic data number limitation of power of two to conventional wavelet transform, has been applied to analysis of pseudo and standard PIV images. The modal wavelet transform is compared with the discrete wavelet transform in order to select the best base function among Neumann, Dirichlet and Green function types base functions. Consequently, it is verified that Neumann type base function is the best because the correlation of Neumann type base function is high and the root mean square is lower than the other base functions. Also, the decomposition vector patterns by Neumann type is similar to that by conventional Daubechies base function of 4
th order.
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