Метод реконструкції відеозображень для підвищення ефективності доставки в інфокомунікаційних системах аеросегменту

Abstract

Today, the main tool of effective management at both the local, regional, and state levels is the availability of appropriate information support. This especially applies to the security and defense sector, where the availability of the necessary information support is the main requirement for the effective response of departmental bodies (relevant law enforcement agencies) to crisis situations arising both in society and the state as a whole. In connection with this, the role of video information support as a means for prompt decision-making is significantly increased. This is due to the fact that the key principles of the implementation of video information provision are timeliness (operational) and reliability. For this purpose, stationary and mobile photo and video surveillance systems are quite actively used. The use of the latter is closely related to the aviation segment — unmanned aerial vehicles and complexes, the role of which is increased by the presence of such properties as scale and mobility. However, at the same time, the following problematic factors arise related to the use of wireless communication technologies for data delivery to the final addressee: an imbalance between the ever-increasing volumes of data and the bandwidth of data transmission channels; the influence of obstacles arising in the process of video data delivery on the level of reliability of the reconstructed video image. It should be noted that the use of existing methods of interference-resistant coding to solve the above-mentioned problems leads to a significant increase in the volume of video data, which is critical in the conditions of using wireless communication technologies — video is an information resource transmitted with significant time delays. For this purpose, a method of video data reconstruction is being developed based on the use of identifiers (markers) of uneven code structures assigned to the elements of clusters formed as a result of the restructuring of the information space by structural feature. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource. A distinctive feature of the developed method is the independent decompositional statistical decoding of individual code subsets according to structural features. This ensures, due to the use of additional service information, the localization of errors in the process of data reconstruction of the video information resource.