NEW SUSTAINABLE METHODS FOR DISTORTED IMAGE RECOVERING
Annotation
New sustainable methods and algorithms are proposed for recovering object images damaged (distorted, corrupted) as a result of defocusing, spreading, and noising. The type and parameters of damage are estimated by the developed “spectral method”, as demonstrated on the example of distorted images of the Black Sea, and then the image damage is eliminated (removed) based on a stable solution of integral equations using the Tikhonov regularization method and the Fourier transform. The approach makes it possible to increase the resolution of optical instruments - cameras, telescopes, microscopes, etc.ff
Keywords
Постоянный URL
Articles in current issue
- APPLICATION OF BIG DATA METHODS FOR INTERMAGNET DATA PREPROCESSING
- CONTROL OF SELF-DUAL DEVICES USING COMPRESSION CIRCUITS BASED ON FULL ADDERS
- NEW SUSTAINABLE METHODS FOR DISTORTED IMAGE RECOVERING
- FORMATION OF SETS OF TERNARY GOLD-LIKE SEQUENCES FOR DIGITAL INFORMATION TRANSMISSION AND PROCESSING SYSTEMS
- PRELIMINARY PROCESSING OF DATA FROM A SATELLITE NAVIGATION RECEIVER IN THE PROBLEM OF THREE-DIMENSIONAL UPPER IONOSPHERE TOMOGRAPHY
- EXPERIMENTAL METHODS AND MEANS OF PROTECTING SPACE-BASED OPTOELECTRONIC SYSTEMS FROM MECHANICAL IMPACTS
- REFRACTOMETRIC METHODS AND MEANS OF CONTROL OF ETHANOL, PROPANOL, AND THEIR AQUEOUS SOLUTIONS
- METHOD OF PONDEROMOTIVE CONTROL OF MAGNETIC SUSCEPTIBILITY OF DISPERSE SAMPLES AND PARTICLES OF IRON-CONTAINING SORBENTS
- METHOD FOR DETERMINING THE RATIONAL MODES OF THE TECHNOLOGICAL OPERATION OF FINISHING FLAT SURFACES WITH A BONDED ABRASIVE