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Image Processing
Quasicoherent Reception
Multipath Reception
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Multi Antenna Reception and Transmission
Optimal balance of info & pilot signal components
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Multi-User Detection
Contact

 

SUMMARY
On research in image processing and compression

1. From 1982 up to 2020 witnessed a number of works on image processing in adaptive optical systems, observing distant objects through the turbulent media. Obtained the recovering algorithms of media-distorted images, studied the various adaptation schemes and methods of the optics control on the basis of flexible mirrors and phase transparency.

2. Developed several algorithms, recovering distorted optical signals, realizing the adaptive optical systems function.

3. The above-mentioned scientific work has been made to the order of the Russian Central Design Agency “Astrophysics”.

4. The begin of the 90’s witnessed a number of scientific works and the obtained results dealt with optical image processing algorithms to discover and recognize objects with unknown parameters as well as the estimation of information parameters of the objects: coordinates, angles, scales, and the parameters, defining the object geometry.

5. The communication systems of the new generation are oriented at transmitting various types of information data streams i.e. they are multimedia telecommunication systems. That’s why television and computer images, videoconferences, video cellular communications and media distant monitoring assume the image compression procedure.

6. Studied the basic known compression algorithms of the static and dynamic images (JPEG, MPEG). Chosen the algorithms of color encoding and subdiscretization of signals. Found the basic peculiarities of discrete cosine transformation and “quick methods” of its digital realization. Studied the basic types of quantization matrices, advantages and disadvantages of these algorithms.

7. To solve the digital objects processing task (according to MPEG standard) the following information has been compiled: found the most promising algorithm of detection of data block with stable background, found algorithm of discovering of the moving fragments, and suggested algorithm of the moving vector estimation to form P and B frames of the video data sequence.

8. Developed new image compression algorithms based on polynominal microblocks transformation. Compared with JPEG and I-frames MPEG2-MPEG4, these algorithms allow to increase 2.5 – 4 times compression power of the static images. Proved, that these algorithms are very effective to videoconference communications in the limited throughput channels.

9. Created the C++ language codec, realizing one of the polynominal transformation algorithms, based on the Chebyshev’s orthogonal transformation (GDCT algorithm).

10. Suggested new highly effective algorithms of the moving fragments detection and defining their movement vector. These algorithms more than ten-foldly reduce the number of required operations, hence they can be realized not only in device oriented processors, but also in the personal computers. The above mentioned algorithms advantages make it possible to use in internet.

11. More then 10 articles, dealing with this branch of science have been published in the proceedings of the scientific conferences in Russia and abroad. The results have been highly assessed by the specialists, dealing with digital processing and image compression.

 

| About Us | Image Processing | Quasicoherent Reception |
| Multipath Reception | Smart Antenna Forward Link |
| Smart Antenna Reverse Link | Multi Antenna Reception and Transmission |
| Optimal balance of info & pilot signal components |
| Power and Data Rate Transmission Control | Multi-User Detection | Contact |