Vladimir P. Melnik

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—A nonlinear multiscale pyramidal transform based on nonoverlapping block decompositions using the median operation and a polynomial approximation is considered. It is shown that this structure can be useful for denoising of one– and two-dimensional (1-D and 2-D) signals. Various denoising techniques are analyzed , including methods based on spatially(More)
The characteristics of impulse bursts in remote sensing images are analyzed and a model for this noise is proposed. The model also takes into consideration other noise types, for example, the multiplicative noise present in radar images. As a case study, soft morphological filters utilizing a training-based optimization scheme are used for the noise(More)
The ways to improve the computational efficiency of the Frost filter and make it robust in respect to spikes are considered. A hard-switching adaptive procedure is proposed and the aspects of proper selection of linear filter parameters and threshold values are discussed. Then the idea of subsequent application of FIR-median hybrid filter is put forward.(More)
The images formed by coherent imaging systems are characterized by presence of multiplicative noise with non-symmetrical p.d.f.s. The examples are the Rayleigh and one-side (negative) exponential distributions. For these cases the optimal L-filters are derived for different coefficient censoring by minimizing MSE of residual fluctuations. Some sub-optimal(More)