Digital Filtration Methods and Their Impact on the Quality of Images of Different Classes

Abstract

Different methods of filtration and digital image classes are investigated in this work. Thefrequency filtering method for digital imaging was implemented and the degree of distortionof the digital image was investigated depending on the class of the image, separately for eachcomponent of the color model. The research was conducted on digital static images ofdifferent classes using frequency filtering methods that were implemented in applicationsoftware. The procedure for removing segments of the spectrum of three color gamut hasbeen obtained and it has been proved that the functional dependencies of distortion of imagequality (realistic, artificial, monochrome, etc.) are different for the red, green and bluecomponents of the color model. It is shown that the above statistics may be the basis forfurther research for the development of modern effective methods of steganography andsteganalization