Image reconstruction using the bispectrum and tapering pre-distortions of image rows

The problem of jittery and noisy image reconstruction is considered. Bispectrum-based image row Fourier magnitude and phase spectra reconstruction technique and algorithm using pre-distortions of image rows are designed and investigated. Tapering pre-distortion function of Gaussian shape introduced in each image row permits to decrease spectral leakage, ob-tain continuous image row phase bispectrum functions, avoid phase ambiguity and align the reconstructed image rows. Pro-posed approach provides image enhancement for applications to a priori unknown object recognition. Computer simulations are provided to demonstrate the performance of the proposed image reconstruction technique. Visual inspection of the re-constructed test images illustrates heavy jitter removal and spectral leakage decreasing in the presence of additive white Gaussian noise (AWGN)