Data Compression Based on Coding Methods With a Controlled Level of Quality Loss

This article is devoted to the actual problem-the formation of modern technologies for processing digital information messages and the development of a video data compression method with a controlled level of quality loss. In contrast to the existing algorithms, the developed method is based on standard procedures for preliminary quantization of the transformant components of the discrete cosine transformation under conditions of effective reduction of their volume and the parameter of weight coefficients. This approach of discrete cosine transformation allows to achieve conversion and redistribution of the output signal energy in the frequency plane and to obtain areas, that have a smaller amount of information representation of the digital image from the position of its visual perception by the human visual system. This redistribution of the energy of the digital video signal allows to eliminate psychovisual redundancy of the image and provides the opportunity to make quality decisions by increasing the data compression ratio. The proposed method allows to increase the compression ratio of images by 7-10% compared to similar methods using DCT.