MODIFIED METHOD OF RECONSTRUCTION OF IMAGES BASED ON SEARCH OF SIMILAR AREAS
For the analysis of photo and video data obtained from cameras installed both on space surveillance devices and on mobile aircraft, the methods of texture analysis are widely used. Using the methods of texture analysis, the problems of qualitative clustering of the underlying surface and the search for target objects, for example, enemy disguised positions, etc., are solved. Color and texture are important characteristics of the image. The problem of the analysis of color textures includes such aspects as the description of color textures, their classification, that is formation of clusters (at the same time understand as a cluster usually an object group, forming area compact somewhat in description space), and the segmentation, that is a partition of the image on area which are uniform concerning one or several characteristics, or belong to some cluster. The article considers the method of image reconstruction based on the search for similar blocks using the texture synthesis algorithm. The efficiency of the new approach is shown on several examples for different areas with lost pixels. The subject of the study are methods and algorithms for processing the space-time reconstruction of two-dimensional signals based on a geometric model of images. The object of the study is a set of test static images. The result of the study is a modification of the method of image reconstruction based on the search for similar blocks in order to reduce the error of image reconstruction. The novelty of the work is an algorithm which allows improving the quality of image restoration. The received results allow reducing a mean square error. At the solution of objectives results on the basis of which it is possible to draw conclusions are received: developed is the method of recovery of images on the basis of search of similar blocks where it is offered to use a method of gluing the blocks as modification; the analysis of results of the conducted research has shown that the offered method allows improving the quality of images reconstruction.