lossless compression

Tools for micro-satellite video stream lossless compression

Features of construction of devices for compression of lossless images are considered. The study of the features of the construction allows you to fully understand the principles of these devices and the methods of compression, which underlie their work. JPEG-LS method and CCSDS121.0-B-2 standard are chosen as ways of compression of lossless images. The implementation of these methods with different types of architectures on modern FPGAs is considered. A comparison of the results of the implemented nodes on the FPGA.

Approach to implementation on FPGA of data compression algorithm C language descriptions by the means of VIVADO package

The features of devices for monochrome images lossless compression by JPEG-LS method in modern element base are discussed. Capabilities of Vivado package (Xilinx) for JPEG-LS algorithm C to suitable for implementation in FPGAs VHDL-descriptions transformation were tested and described. C language structures, which can not be processed by specified means and possible circumvention of such structures were defined.

Approach to implementation of JPEG-LS lossless image compression method

The features of devices for monochrome images lossless compression by JPEG-LS method in modern element base are discussed. Capabilities of Vivado package (Xilinx) for JPEG-LS algorithm C to suitable for implementation in FPGAs VHDL-descriptions transformation were tested and described. C language structures, which can not be processed by specified means and possible circumvention of such structures were defined.

Using differential color models in lossless RGB-images compression tasks

In the paper several methods of determination of optimal differential color model for RGB-images lossless compression task based on predictors use are considered. Such optimal differential model allows compression parameters to be improved. An algorithm for determination and using of differential color model with integer coefficients is shown. Experiments have shown that using of the proposed differential color models allows compression rate of images to be increased approximately for 4,5 %.