Abstract
This study attempts image sharpening of concrete voids with the application of parasitic discrete wavelet transform. For detection of flaws existing inside the concrete, Linearized Inverse Scattering Methods (LISM) based on Born and Kirchhoff approximation can be applicable to reconstruct the shape of flaws with ultrasonic waves. The frequency characteristic components in the scattering wave from flaws are extracted by parasitic discrete wavelet transform with real-signal mother wavelet (RMW). RMW is created from the scattering wave from the targeted flaw. Scattered waves are filtered by parasitic discrete specialized for the targeted flaw, then they are processed with Kirchhoff based LISM. The reconstructed images show the improvement of flaw sharpening.
