SPARSE IMAGE INTERPOLATION METHODS WORKING IN THE FREQUENCY DOMAIN

The work compares the of sparse image interpolation methods such as: - method sequential computation Fourier spectrum (IMSCS), projections onto convex sets (projections sets, POCS), and amplitude iterations (MAI). All calculations necessary for reconstruction images are performed only on spatial spectra. As an example, aerospace digital is used, which typical tasks remote sensing earth's surface. A high degree sparseness modeled (90 percent information missing). effectiveness studied was carried out according to several objective criteria.