Abstract: Motion compensation in a systems for transmission of images via channels of communication with a limited capacity by means of application of compression of the images. A technical result consists in an increase of the compression degree upon encoding such that a high degree of compression is provided without an increase in the computational power of the encoding device and without additional distortion upon decoding. The result is obtained in part by the usage of a more effective method of interpolation of restored subsamples, employing an adaptive and applicative set of samples, which are used to restore a quantized signal. Use of this set of samples facilitates an improvement in an accuracy of the interpolation.
Abstract: A system and method for compressing digital signals representing images or video sequences. The method includes determining a plurality of generalized tree patterns associated with a corresponding plurality of target regions of an image. The generalized tree patterns may be defined by (i) multiple pattern levels, and (ii) sub-nodes and leaves associated with ones of the multiple pattern levels. A plurality of node splitting alternatives define relationships between ones of the sub-nodes and other of the sub-nodes and ones of the leaves associated with different ones of the multiple pattern levels. Once pixel data from all the target regions of the image has been processed, compressed image data is generated by encoding, using arrangements of hierarchical pyramids, pattern data corresponding to the generalized tree patterns.
Abstract: A method of decoding of syntactic elements of a data stream is disclosed where, before beginning of decoding of the data stream, cells of all context models are initialized with predefined values, so that each context model contains in each cell data on a probability and a counter of a context occurrence number. A number of cells stored in each context model is selected to be not less than a number of all possible states of context elements associated with a respective context model. The process of decoding of at least a portion of bits of the data stream includes, among other steps: selecting a group of context models; calculating values of at least two context elements; extracting data on the probability from the selected cell of the selected context module; updating data in the selected cell; and carrying out a procedure of probability inheritance.