Alexander V. Totsky, Jaakko T. Astola, Karen O. Egiazarian, Igor V. Kurbatov, and Alexander A. Zelensky

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, obtain continuous image row phase bispectrum functions, avoid phase ambiguity and align the reconstructed image rows. Proposed 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 reconstructed test images illustrates heavy jitter removal and spectral leakage decreasing in the presence of additive white Gaussian noise (AWGN).