Application of the method of successive approximation for image compression
DOI:
https://doi.org/10.34185/1562-9945-5-161-2025-18Keywords:
information compression, resolution, numerical matrices, image partition blocks, method of successive approximation, multiplicative form of image representationAbstract
The transmission of large volumes of information requires significant power and storage capacity of power sources, which are limited. For these reasons, the operational lifetime of interplanetary stations and other robotic systems is restricted. To extend the missions of the Voyager-1 and Voyager-2 spacecraft, as well as to enable the transmission of large amounts of data from robotic systems to the planets of the Solar System — the Moon, Mars, and Venus - it is necessary to use data compression.
The operation of such a wide range of machines and mechanisms has shown that the main limitation on their operating time is the limited capacity of power sources. The duration of their functioning is proportional to the volume of transmitted information, including images. Clearly, this requires reducing the operating time of the transmitter, which is the main mode of energy consumption.
Thus, the problem of extending the operational lifetime of such systems is directly related to reducing the data transmission time. This, in turn, can be achieved by reducing the data volume - that is, through compression.
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